Publications

2024

J. Ott, M. J. Kochenderfer, and S. Boyd, “Approximate sequential optimization for informative path planning,” ArXiv, 2024.
[Bibtex]

@Article{Ott2024,
author = {Joshua Ott and Mykel J. Kochenderfer and Stephen Boyd},
journal = arxiv,
title = {Approximate sequential optimization for informative path planning},
year = {2024},
url = {https://arxiv.org/abs/2402.08841},
}

H. Delecki, M. Vazquez-Chanlatte, E. Yel, K. Wray, T. Arnon, S. Witwicki, and M. J. Kochenderfer, “Entropy-regularized point-based value iteration,” ArXiv, 2024.
[Bibtex]

@Article{Delecki2024,
author = {Harrison Delecki and Marcell Vazquez-Chanlatte and Esen Yel and Kyle Wray and Tomer Arnon and Stefan Witwicki and Mykel J. Kochenderfer},
journal = arxiv,
title = {Entropy-regularized point-based value iteration},
year = {2024},
url = {https://arxiv.org/abs/2402.09388},
}

R. J. Moss, M. J. Kochenderfer, M. Gariel, and A. Dubois, “Bayesian safety validation for failure probability estimation of black-box systems,” Journal of Aerospace Information Systems, 2024.
[Bibtex]

@Article{Moss2024,
author = {Robert J. Moss and Mykel J. Kochenderfer and Maxime Gariel and Arthur Dubois},
journal = jais,
title = {Bayesian safety validation for failure probability estimation of black-box systems},
year = {2024},
}

P. Stocco, S. Chundi, A. Jamgochian, and M. J. Kochenderfer, “Addressing myopic constrained POMDP planning with recursive dual ascent,” in International Conference on Automated Planning and Scheduling (ICAPS), 2024.
[Bibtex]

@InProceedings{Stocco2024,
author = {Paula Stocco and Suhas Chundi and Arec Jamgochian and Mykel J. Kochenderfer},
booktitle = icaps,
title = {Addressing myopic constrained {POMDP} planning with recursive dual ascent},
year = {2024},
}

A. Jamgochian, H. Buurmeijer, K. Wray, A. Corso, and M. J. Kochenderfer, “Constrained hierarchical Monte Carlo belief-state planning,” in IEEE International Conference on Robotics and Automation (ICRA), 2024.
[Bibtex]

@InProceedings{Jamgochian2024,
author = {Arec Jamgochian and Hugo Buurmeijer and Kyle Wray and Anthony Corso and Mykel J. Kochenderfer},
booktitle = icra,
title = {Constrained hierarchical {M}onte {C}arlo belief-state planning},
year = {2024},
url = {https://arxiv.org/abs/2310.20054},
}

B. Lange, J. Li, and M. J. Kochenderfer, “Scene informer: anchor-based occlusion inference and trajectory prediction in partially observable environments,” in IEEE International Conference on Robotics and Automation (ICRA), 2024.
[Bibtex]

@InProceedings{Lange2024icra,
author = {Bernard Lange and Jiachen Li and Mykel J. Kochenderfer},
booktitle = icra,
title = {Scene informer: anchor-based occlusion inference and trajectory prediction in partially observable environments},
year = {2024},
url = {https://arxiv.org/abs/2309.13893},
}

V. M. Dax, J. Li, E. Sachdeva, N. Agarwal, and M. J. Kochenderfer, “Disentangled Neural Relational Inference for Interpretable Motion Prediction,” IEEE Robotics and Automation Letters, vol. 9, iss. 2, p. 1452–1459, 2024.
[Bibtex]

@Article{Dax2024,
author = {Dax, Victoria M. and Li, Jiachen and Sachdeva, Enna and Agarwal, Nakul and Kochenderfer, Mykel J.},
journal = {IEEE Robotics and Automation Letters},
title = {Disentangled Neural Relational Inference for Interpretable Motion Prediction},
year = {2024},
number = {2},
pages = {1452--1459},
volume = {9},
doi = {10.1109/lra.2023.3342554},
url = {https://arxiv.org/abs/2401.03599},
}

A. Corso, M. Chiotoroiu, T. Clemens, M. Zechner, and M. J. Kochenderfer, “Sequentially optimized data acquisition for a geothermal reservoir,” SSRN, 2024.
[Bibtex]

@Article{Corso2024,
author = {Corso, Anthony and Chiotoroiu, Maria and Clemens, Torsten and Zechner, Markus and Kochenderfer, Mykel J.},
journal = {SSRN},
title = {Sequentially optimized data acquisition for a geothermal reservoir},
year = {2024},
doi = {10.2139/ssrn.4698054},
}

E. Molins, Y. Alonso, M. J. Kochenderfer, J. Heit, and B. Pulli, “Ambulance routing for optimizing stroke patient outcomes,” in Workshop on Health Intelligence, AAAI Conference on Artificial Intelligence (AAAI), 2024.
[Bibtex]

@InProceedings{Molins2024workshop,
author = {Emily Molins and Yasmine Alonso and Mykel J. Kochenderfer and Jeremy Heit and Benjamin Pulli},
booktitle = {Workshop on Health Intelligence, } # aaai,
title = {Ambulance routing for optimizing stroke patient outcomes},
year = {2024},
}

E. Sachdeva, N. Agarwal, S. Chundi, S. Roelofs, J. Li, M. J. Kochenderfer, C. Choi, and B. Dariush, “Rank2Tell: A multimodal driving dataset for joint importance ranking and reasoning,” in Winter Conference on Applications of Computer Vision, 2024.
[Bibtex]

@InProceedings{Sachdeva2024,
author = {Enna Sachdeva and Nakul Agarwal and Suhas Chundi and Sean Roelofs and Jiachen Li and Mykel J. Kochenderfer and Chiho Choi and Behzad Dariush},
booktitle = {Winter Conference on Applications of Computer Vision},
title = {{Rank2Tell}: A multimodal driving dataset for joint importance ranking and reasoning},
year = {2024},
url = {https://arxiv.org/abs/2309.06597},
}

2023

C. A. Strong, H. Wu, A. Zeljic, K. D. Julian, G. Katz, C. Barrett, and M. J. Kochenderfer, “Global optimization of objective functions represented by ReLU networks,” Machine Learning, vol. 112, p. 3685–3712, 2023.
[Bibtex]

@Article{Strong2023,
author = {Christopher A. Strong and Haoze Wu and Aleksandar Zeljic and Kyle D. Julian and Guy Katz and Clark Barrett and Mykel J. Kochenderfer},
journal = {Machine Learning},
title = {Global optimization of objective functions represented by {ReLU} networks},
year = {2023},
pages = {3685--3712},
volume = {112},
doi = {10.1007/s10994-021-06050-2},
url = {https://arxiv.org/abs/2010.03258},
}

S. M. Katz, K. D. Julian, C. A. Strong, and M. J. Kochenderfer, “Generating probabilistic safety guarantees for neural network controllers,” Machine Learning, vol. 112, p. 2903–2931, 2023.
[Bibtex]

@Article{Katz2023mlj,
author = {Sydney M. Katz and Kyle D. Julian and Christopher A. Strong and Mykel J. Kochenderfer},
journal = {Machine Learning},
title = {Generating probabilistic safety guarantees for neural network controllers},
year = {2023},
pages = {2903--2931},
volume = {112},
doi = {10.1007/s10994-021-06065-9},
url = {https://arxiv.org/abs/2103.01203},
}

N. Moehle, J. Gindi, S. Boyd, and M. J. Kochenderfer, “Portfolio construction as linearly constrained separable optimization,” Optimization and Engineering, vol. 24, p. 1667–1687, 2023.
[Bibtex]

@Article{Moehle2023separable,
author = {Nicholas Moehle and Jack Gindi and Stephen Boyd and Mykel J. Kochenderfer},
journal = {Optimization and Engineering},
title = {Portfolio construction as linearly constrained separable optimization},
year = {2023},
pages = {1667--1687},
volume = {24},
doi = {10.1007/s11081-022-09748-x},
url = {https://arxiv.org/abs/2103.05455},
}

A. Jamgochian, A. Corso, and M. J. Kochenderfer, “Online planning for constrained POMDPs with continuous spaces through dual ascent,” in International Conference on Automated Planning and Scheduling (ICAPS), 2023.
[Bibtex]

@InProceedings{Jamgochian2023icaps,
author = {Arec Jamgochian and Anthony Corso and Mykel J. Kochenderfer},
booktitle = icaps,
title = {Online planning for constrained {POMDP}s with continuous spaces through dual ascent},
year = {2023},
doi = {10.1609/icaps.v33i1.27195},
url = {https://arxiv.org/abs/2212.12154},
}

A. Jamgochian, E. Buehrle, J. Fischer, and M. J. Kochenderfer, “SHAIL: Safety-aware hierarchical adversarial imitation learning for autonomous driving in urban environments,” in IEEE International Conference on Robotics and Automation (ICRA), 2023.
[Bibtex]

@InProceedings{Jamgochian2023icra,
author = {Arec Jamgochian and Etienne Buehrle and Johannes Fischer and Mykel J. Kochenderfer},
booktitle = icra,
title = {{SHAIL}: Safety-aware hierarchical adversarial imitation learning for autonomous driving in urban environments},
year = {2023},
doi = {10.1109/ICRA48891.2023.10161449},
url = {https://arxiv.org/abs/2204.01922},
}

J. Ott, E. Balaban, and M. J. Kochenderfer, “Sequential Bayesian optimization for adaptive informative path planning with multimodal sensing,” in IEEE International Conference on Robotics and Automation (ICRA), 2023.
[Bibtex]

@InProceedings{Ott2023icra,
author = {Joshua Ott and Edward Balaban and Mykel J. Kochenderfer},
booktitle = icra,
title = {Sequential {B}ayesian optimization for adaptive informative path planning with multimodal sensing},
year = {2023},
doi = {10.1109/ICRA48891.2023.10160859},
url = {https://arxiv.org/abs/2209.07660},
}

D. Asmar, R. Senanayake, S. Manuel, and M. J. Kochenderfer, “Model predictive optimized path integral strategies,” in IEEE International Conference on Robotics and Automation (ICRA), 2023.
[Bibtex]

@InProceedings{Asmar2023icra,
author = {Dylan Asmar and Ransalu Senanayake and Shawn Manuel and Mykel J. Kochenderfer},
booktitle = icra,
title = {Model predictive optimized path integral strategies},
year = {2023},
doi = {10.1109/ICRA48891.2023.10160929},
url = {https://arxiv.org/abs/2203.16633},
}

M. F. Ginting, S. Kim, O. Peltzer, J. Ott, S. Jung, M. J. Kochenderfer, and A. Agha-mohammadi, “Safe and efficient navigation in extreme environments using semantic belief graphs,” in IEEE International Conference on Robotics and Automation (ICRA), 2023.
[Bibtex]

@InProceedings{Ginting2023icra,
author = {Muhammad Fadhil Ginting and Sung-Kyun Kim and Oriana Peltzer and Joshua Ott and Sunggoo Jung and Mykel J. Kochenderfer and Ali-akbar Agha-mohammadi},
booktitle = icra,
title = {Safe and efficient navigation in extreme environments using semantic belief graphs},
year = {2023},
doi = {10.1109/ICRA48891.2023.10161056},
url = {https://arxiv.org/pdf/2304.00645.pdf},
}

C. E. Denniston, O. Peltzer, J. Ott, S. Moon, S. Kim, G. Sukhatme, M. J. Kochenderfer, M. Schwager, and A. Agha-mohammadi, “Fast and scalable signal inference for active robotic source seeking,” in IEEE International Conference on Robotics and Automation (ICRA), 2023.
[Bibtex]

@InProceedings{Denniston2023,
author = {Christopher E. Denniston and Oriana Peltzer and Joshua Ott and Sangwoo Moon and Sung-Kyun Kim and Gaurav Sukhatme and Mykel J. Kochenderfer and Mac Schwager and Ali-akbar Agha-mohammadi},
booktitle = icra,
title = {Fast and scalable signal inference for active robotic source seeking},
year = {2023},
doi = {10.1109/ICRA48891.2023.10161445},
url = {https://arxiv.org/abs/2301.02362},
}

R. Bhattacharyya, B. Wulfe, D. J. Phillips, A. Kuefler, J. Morton, R. Senanayake, and M. J. Kochenderfer, “Modeling human driving behavior through generative adversarial imitation learning,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, iss. 3, p. 2874–2887, 2023.
[Bibtex]

@Article{Bhattacharyya2023,
author = {Raunak Bhattacharyya and Blake Wulfe and Derek J. Phillips and Alex Kuefler and Jeremy Morton and Ransalu Senanayake and Mykel J. Kochenderfer},
journal = ieeetits,
title = {Modeling human driving behavior through generative adversarial imitation learning},
year = {2023},
number = {3},
pages = {2874--2887},
volume = {24},
doi = {10.1109/tits.2022.3227738},
url = {https://arxiv.org/abs/2006.06412},
}

R. J. Moss, M. J. Kochenderfer, M. Gariel, and A. Dubois, “Bayesian safety validation for black-box systems,” in AIAA AVIATION, 2023.
[Bibtex]

@InProceedings{Moss2023,
author = {Robert J. Moss and Mykel J. Kochenderfer and Maxime Gariel and Arthur Dubois},
booktitle = aiaa_aviation,
title = {Bayesian safety validation for black-box systems},
year = {2023},
doi = {10.2514/6.2023-3596},
url = {https://arxiv.org/abs/2305.02449},
}

A. E. Tzikas, D. Knowles, G. X. Gao, and M. J. Kochenderfer, “Multirobot navigation using partially observable Markov decision processes with belief-based rewards,” Journal of Aerospace Information Systems, p. 1–10, 2023.
[Bibtex]

@Article{Tzikas2023,
author = {Alexandros E. Tzikas and Derek Knowles and Grace X. Gao and Mykel J. Kochenderfer},
journal = jais,
title = {Multirobot navigation using partially observable {M}arkov decision processes with belief-based rewards},
year = {2023},
pages = {1--10},
doi = {10.2514/1.i011146},
}

R. J. Moss, A. Corso, J. Caers, and M. J. Kochenderfer, “BetaZero: Belief-state planning for long-horizon POMDPs using learned approximations,” ArXiv, 2023.
[Bibtex]

@Article{Moss2023betazero,
author = {Moss, Robert J. and Corso, Anthony and Caers, Jef and Kochenderfer, Mykel J.},
journal = arxiv,
title = {Beta{Z}ero: {B}elief-state planning for long-horizon {POMDP}s using learned approximations},
year = {2023},
doi = {10.48550/ARXIV.2306.00249},
}

H. Delecki, A. Corso, and M. J. Kochenderfer, “Model-based Validation as Probabilistic Inference,” in Conference on Learning for Dynamics and Control (L4DC), 2023.
[Bibtex]

@InProceedings{Delecki2023,
author = {Delecki, Harrison and Corso, Anthony and Kochenderfer, Mykel J.},
booktitle = {Conference on Learning for Dynamics and Control (L4DC)},
title = {Model-based Validation as Probabilistic Inference},
year = {2023},
doi = {10.48550/ARXIV.2305.09930},
}

N. Rober, S. M. Katz, C. Sidrane, E. Yel, M. Everett, M. J. Kochenderfer, and J. P. How, “Backward reachability analysis of neural feedback loops: Techniques for linear and nonlinear systems,” IEEE Open Journal of Control Systems, vol. 2, p. 108–124, 2023.
[Bibtex]

@Article{Rober2023,
author = {Nicholas Rober and Sydney M. Katz and Chelsea Sidrane and Esen Yel and Michael Everett and Mykel J. Kochenderfer and Jonathan P. How},
journal = {{IEEE} Open Journal of Control Systems},
title = {Backward reachability analysis of neural feedback loops: {T}echniques for linear and nonlinear systems},
year = {2023},
pages = {108--124},
volume = {2},
doi = {10.1109/ojcsys.2023.3265901},
}

Y. Wang, M. Zechner, G. Wen, A. L. Corso, J. M. Mern, M. J. Kochenderfer, and J. K. Caers, “Optimizing carbon storage operations for long-term safety,” ArXiv, 2023.
[Bibtex]

@Article{Wang2023,
author = {Wang, Yizheng and Zechner, Markus and Wen, Gege and Corso, Anthony Louis and Mern, John Michael and Kochenderfer, Mykel J. and Caers, Jef Karel},
journal = arxiv,
title = {Optimizing carbon storage operations for long-term safety},
year = {2023},
doi = {10.48550/ARXIV.2304.09352},
}

H. Delecki, L. Kruse, M. Schlichting, and M. J. Kochenderfer, “Deep normalizing flows for state estimation,” in IEEE International Conference on Information Fusion (FUSION), 2023.
[Bibtex]

@InProceedings{Delecki2023fusion,
author = {Harrison Delecki and Liam Kruse and Marc Schlichting and Mykel J. Kochenderfer},
booktitle = {IEEE International Conference on Information Fusion (FUSION)},
title = {Deep normalizing flows for state estimation},
year = {2023},
url = {https://arxiv.org/pdf/2306.15605.pdf},
}

A. Yildiz, E. Yel, A. L. Corso, K. H. Wray, S. J. Witwicki, and M. J. Kochenderfer, “Experience filter: Using past experiences on unseen tasks or environments,” in IEEE Intelligent Vehicles Symposium (IV), 2023.
[Bibtex]

@InProceedings{Yildiz2023iv,
author = {Anil Yildiz and Esen Yel and Anthony L. Corso and Kyle H. Wray and Stefan J. Witwicki and Mykel J Kochenderfer},
booktitle = iv,
title = {Experience filter: {U}sing past experiences on unseen tasks or environments},
year = {2023},
doi = {10.1109/IV55152.2023.10186722},
url = {https://arxiv.org/abs/2305.18633},
}

O. Peltzer, D. M. Asmar, M. Schwager, and M. J. Kochenderfer, “Incorporating human path preferences in robot navigation with minimal interventions,” ArXiv, 2023.
[Bibtex]

@Article{Peltzer2023,
author = {Peltzer, Oriana and Asmar, Dylan M. and Schwager, Mac and Kochenderfer, Mykel J.},
journal = arxiv,
title = {Incorporating human path preferences in robot navigation with minimal interventions},
year = {2023},
url = {https://arxiv.org/abs/2303.03530},
}

M. R. Schlichting, N. V. Boord, A. Corso, and M. J. Kochenderfer, “SAVME: Efficient safety validation for autonomous systems using meta-learning,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023.
[Bibtex]

@InProceedings{Schlichting2023,
author = {Marc René Schlichting and Nina Virginia Boord and Anthony Corso and Mykel J. Kochenderfer},
booktitle = itsc,
title = {{SAVME}: {E}fficient safety validation for autonomous systems using meta-learning},
year = {2023},
doi = {10.1109/ITSC57777.2023.10420845},
url = {https://arxiv.org/abs/2309.12474},
}

K. Lee, J. Li, D. Isele, J. Park, K. Fujimura, and M. J. Kochenderfer, “Robust driving policy learning with guided meta reinforcement learning,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023.
[Bibtex]

@InProceedings{Lee2023,
author = {Kanghoon Lee and Jiachen Li and David Isele and Jinkyoo Park and Kikuo Fujimura and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Robust driving policy learning with guided meta reinforcement learning},
year = {2023},
doi = {10.1109/ITSC57777.2023.10422469},
url = {https://arxiv.org/pdf/2307.10160.pdf},
}

A. Corso, D. Karamadian, R. Valentin, M. Cooper, and M. J. Kochenderfer, “A Holistic Assessment of the Reliability of Machine Learning Systems,” ArXiv, 2023.
[Bibtex]

@Article{Corso2023,
author = {Anthony Corso and David Karamadian and Romeo Valentin and Mary Cooper and Mykel J. Kochenderfer},
journal = arxiv,
title = {A Holistic Assessment of the Reliability of Machine Learning Systems},
year = {2023},
doi = {10.48550/ARXIV.2307.10586},
}

A. Yildiz, J. Mern, M. J. Kochenderfer, and M. F. Howland, “Towards sequential sensor placements on a wind farm to maximize lifetime energy and profit,” Renewable Energy, vol. 216, p. 119040, 2023.
[Bibtex]

@Article{Yildiz2023a,
author = {Anil Yildiz and John Mern and Mykel J. Kochenderfer and Michael F. Howland},
journal = {Renewable Energy},
title = {Towards sequential sensor placements on a wind farm to maximize lifetime energy and profit},
year = {2023},
pages = {119040},
volume = {216},
doi = {10.1016/j.renene.2023.119040},
}

S. M. Katz, A. L. Corso, E. Yel, and M. J. Kochenderfer, “Efficient determination of safety requirements for perception systems,” in Digital Avionics Systems Conference (DASC), 2023.
[Bibtex]

@InProceedings{Katz2023dasc,
author = {Sydney M. Katz and Anthony L. Corso and Esen Yel and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Efficient determination of safety requirements for perception systems},
year = {2023},
doi = {10.1109/DASC58513.2023.10311157},
url = {https://arxiv.org/pdf/2307.01371.pdf},
}

J. Sun, Y. Jiang, J. Qiu, P. T. Nobel, M. J. Kochenderfer, and M. Schwager, “Conformal prediction for uncertainty-aware planning with diffusion dynamics model,” in Advances in Neural Information Processing Systems (NeurIPS), 2023.
[Bibtex]

@InProceedings{Sun2023,
author = {Jiankai Sun and Yiqi Jiang and Jianing Qiu and Parth Talpur Nobel and Mykel J. Kochenderfer and Mac Schwager},
booktitle = neurips,
title = {Conformal prediction for uncertainty-aware planning with diffusion dynamics model},
year = {2023},
url = {https://openreview.net/pdf?id=VeO03T59Sh},
}

E. Q. Smyers, S. M. Katz, A. Corso, and M. J. Kochenderfer, “AVOIDDS: Aircraft vision-based intruder detection dataset and simulator,” in Advances in Neural Information Processing Systems (NeurIPS), 2023.
[Bibtex]

@InProceedings{Smyers2023,
author = {Elysia Quinn Smyers and Sydney Michelle Katz and Anthony Corso and Mykel J. Kochenderfer},
booktitle = neurips,
title = {{AVOIDDS}: {A}ircraft vision-based intruder detection dataset and simulator},
year = {2023},
url = {https://arxiv.org/abs/2306.11203},
}

M. H. Lim, T. J. Becker, M. J. Kochenderfer, C. J. Tomlin, and Z. N. Sunberg, “Optimality guarantees for particle belief approximation of POMDPs,” Journal of Artificial Intelligence Research, vol. 77, p. 1591–1636, 2023.
[Bibtex]

@Article{Lim2023,
author = {Michael H. Lim and Tyler J. Becker and Mykel J. Kochenderfer and Claire J. Tomlin and Zachary N. Sunberg},
journal = jair,
title = {Optimality guarantees for particle belief approximation of {POMDPs}},
year = {2023},
pages = {1591--1636},
volume = {77},
doi = {10.1613/jair.1.14525},
}

M. Toyungyernsub, E. Yel, J. Li, and M. J. Kochenderfer, “Predicting future spatiotemporal occupancy grids with semantics for autonomous driving,” ArXiv, 2023.
[Bibtex]

@Article{Toyungyernsub2023,
author = {Maneekwan Toyungyernsub and Esen Yel and Jiachen Li and Mykel J. Kochenderfer},
journal = arxiv,
title = {Predicting future spatiotemporal occupancy grids with semantics for autonomous driving},
year = {2023},
url = {https://arxiv.org/abs/2310.01723},
}

E. Bıyık, N. Huynh, M. J. Kochenderfer, and D. Sadigh, “Active preference-based Gaussian process regression for reward learning and optimization,” International Journal of Robotics Research, 2023.
[Bibtex]

@Article{Biyik2023,
author = {Bıyık, Erdem and Huynh, Nicolas and Kochenderfer, Mykel J. and Sadigh, Dorsa},
journal = {International Journal of Robotics Research},
title = {Active preference-based {G}aussian process regression for reward learning and optimization},
year = {2023},
doi = {10.1177/02783649231208729},
}

E. Soroka, M. J. Kochenderfer, and S. Lall, “Satisfiability.jl: satisfiability modulo theories in Julia,” ArXiv, 2023.
[Bibtex]

@Article{Soroka2023,
author = {Emiko Soroka and Mykel J. Kochenderfer and Sanjay Lall},
journal = arxiv,
title = {Satisfiability.jl: satisfiability modulo theories in {J}ulia},
year = {2023},
url = {https://arxiv.org/abs/2309.08778},
}

S. Jung, “Probabilistic modeling of air and ground vehicle trajectories,” PhD Thesis, 2023.
[Bibtex]

@PhdThesis{Jung2023phd,
author = {Soyeon Jung},
school = {Stanford University},
title = {Probabilistic modeling of air and ground vehicle trajectories},
year = {2023},
url = {https://searchworks.stanford.edu/view/14641240},
}

S. Katz, “Safe machine learning-based perception via closed-loop analysis,” PhD Thesis, 2023.
[Bibtex]

@PhdThesis{Katz2023phd,
author = {Sydney Katz},
school = {Stanford University},
title = {Safe machine learning-based perception via closed-loop analysis},
year = {2023},
url = {https://searchworks.stanford.edu/view/14781481},
}

O. Peltzer, “Robotic path planning with sparse environment representations,” PhD Thesis, 2023.
[Bibtex]

@PhdThesis{Peltzer2023phd,
author = {Oriana Peltzer},
school = {Stanford University},
title = {Robotic path planning with sparse environment representations},
year = {2023},
url = {https://searchworks.stanford.edu/view/14774971},
}

M. Toyungyernsub, “Spatiotemporal occupancy prediction for autonomous driving,” PhD Thesis, 2023.
[Bibtex]

@PhdThesis{Toyungyernsub2023phd,
author = {Maneekwan Toyungyernsub},
school = {Stanford University},
title = {Spatiotemporal occupancy prediction for autonomous driving},
year = {2023},
url = {https://searchworks.stanford.edu/view/14774971},
}

2022

Z. N. Sunberg and M. J. Kochenderfer, “Improving automated driving through POMDP planning with human internal states,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, iss. 11, p. 20073–20083, 2022.
[Bibtex]

@Article{Sunberg2022,
author = {Zachary N. Sunberg and Mykel J. Kochenderfer},
journal = ieeetits,
title = {Improving automated driving through {POMDP} planning with human internal states},
year = {2022},
number = {11},
pages = {20073--20083},
volume = {23},
doi = {10.1109/TITS.2022.3182687},
url = {https://arxiv.org/abs/2005.14549},
}

C. A. Strong, S. M. Katz, A. L. Corso, and M. J. Kochenderfer, “ZoPE: A fast optimizer for ReLU networks with low-dimensional inputs,” in NASA Formal Methods Symposium (NFM), 2022.
[Bibtex]

@InProceedings{Strong2022,
author = {Christopher A. Strong and Sydney M. Katz and Anthony L. Corso and Mykel J. Kochenderfer},
booktitle = {NASA Formal Methods Symposium (NFM)},
title = {{ZoPE}: {A} fast optimizer for {ReLU} networks with low-dimensional inputs},
year = {2022},
number = {2106.05325},
doi = {10.1007/978-3-031-06773-0_16},
journal = arxiv,
url = {https://arxiv.org/abs/2106.05325},
}

C. Sidrane, A. Maleki, A. Irfan, and M. J. Kochenderfer, “OVERT: An algorithm for safety verification of neural network control policies for nonlinear systems,” Journal of Machine Learning Research, vol. 23, iss. 117, p. 1–45, 2022.
[Bibtex]

@Article{Sidrane2022,
author = {Chelsea Sidrane and Amir Maleki and Ahmed Irfan and Mykel J. Kochenderfer},
journal = jmlr,
title = {{OVERT}: {A}n algorithm for safety verification of neural network control policies for nonlinear systems},
year = {2022},
number = {117},
pages = {1--45},
volume = {23},
url = {https://jmlr.org/papers/volume23/21-0847/21-0847.pdf},
}

X. Ma, D. Isele, J. K. Gupta, K. Fujimura, and M. J. Kochenderfer, “Recursive reasoning graph for multi-agent reinforcement learning,” in AAAI Conference on Artificial Intelligence (AAAI), 2022.
[Bibtex]

@InProceedings{Ma2022,
author = {Xiaobai Ma and David Isele and Jayesh K. Gupta and Kikuo Fujimura and Mykel J. Kochenderfer},
booktitle = aaai,
title = {Recursive reasoning graph for multi-agent reinforcement learning},
year = {2022},
url = {https://www.aaai.org/AAAI22Papers/AAAI-12960.MaX.pdf},
}

J. She, J. K. Gupta, and M. J. Kochenderfer, “Agent-time attention for sparse rewards multi-agent reinforcement learning,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022.
[Bibtex]

@InProceedings{She2022,
author = {Jennifer She and Jayesh K. Gupta and Mykel J. Kochenderfer},
booktitle = aamas,
title = {Agent-time attention for sparse rewards multi-agent reinforcement learning},
year = {2022},
url = {https://www.ifaamas.org/Proceedings/aamas2022/pdfs/p1723.pdf},
}

S. Choudhury, K. Solovey, M. J. Kochenderfer, and M. Pavone, “Coordinated multi-agent path finding for drones and trucks over road networks,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022.
[Bibtex]

@InProceedings{Choudhury2022aamas,
author = {Shushman Choudhury and Kiril Solovey and Mykel J. Kochenderfer and Marco Pavone},
booktitle = aamas,
title = {Coordinated multi-agent path finding for drones and trucks over road networks},
year = {2022},
url = {https://arxiv.org/pdf/2110.08802.pdf},
}

A. Mukhopadhyay, G. Pettet, S. M. Vazirizade, D. Lu, A. Jaimes, S. E. Said, H. Baroud, Y. Vorobeychik, M. J. Kochenderfer, and A. Dubey, “A review of incident prediction, resource allocation, and dispatch models for emergency management,” Accident Analysis and Prevention, vol. 165, iss. 106501, 2022.
[Bibtex]

@Article{Mukhopadhyay2022,
author = {Ayan Mukhopadhyay and Geoffrey Pettet and Sayyed Mohsen Vazirizade and Di Lu and Alejandro Jaimes and Said El Said and Hiba Baroud and Yevgeniy Vorobeychik and Mykel J. Kochenderfer and Abhishek Dubey},
journal = {Accident Analysis and Prevention},
title = {A review of incident prediction, resource allocation, and dispatch models for emergency management},
year = {2022},
number = {106501},
volume = {165},
doi = {10.1016/j.aap.2021.106501},
url = {https://arxiv.org/abs/2006.04200},
}

M. Itkina, Y. Mun, K. Driggs-Campbell, and M. J. Kochenderfer, “Multi-agent variational occlusion inference using people as sensors,” in IEEE International Conference on Robotics and Automation (ICRA), 2022.
[Bibtex]

@InProceedings{Itkina2022,
author = {Masha Itkina and Ye-Ji Mun and Katherine Driggs-Campbell and Mykel J. Kochenderfer},
booktitle = icra,
title = {Multi-agent variational occlusion inference using people as sensors},
year = {2022},
doi = {10.1109/ICRA46639.2022.9811774},
url = {https://arxiv.org/abs/2109.02173},
}

V. M. Dax, M. J. Kochenderfer, R. Senanayake, and U. Ibrahim, “Infrastructure-enabled autonomy: An attention mechanism for occlusion handling,” in IEEE International Conference on Robotics and Automation (ICRA), 2022.
[Bibtex]

@InProceedings{Dax2022,
author = {Victoria Magdalena Dax and Mykel J. Kochenderfer and Ransalu Senanayake and Umair Ibrahim},
booktitle = icra,
title = {Infrastructure-enabled autonomy: {A}n attention mechanism for occlusion handling},
year = {2022},
doi = {10.1109/ICRA46639.2022.9812389},
}

S. Li, Y. Zhou, R. Allen, and M. J. Kochenderfer, “Learning emergent discrete message communication for cooperative reinforcement learning,” in IEEE International Conference on Robotics and Automation (ICRA), 2022.
[Bibtex]

@InProceedings{Li2022,
author = {Sheng Li and Yutai Zhou and Ross Allen and Mykel J. Kochenderfer},
booktitle = icra,
title = {Learning emergent discrete message communication for cooperative reinforcement learning},
year = {2022},
doi = {10.1109/ICRA46639.2022.9812285},
url = {https://arxiv.org/abs/2102.12550},
}

S. Choudhury, J. K. Gupta, P. Morales, and M. J. Kochenderfer, “Scalable online planning for multi-agent MDPs,” Journal of Artificial Intelligence Research, vol. 73, p. 821–846, 2022.
[Bibtex]

@Article{Choudhury2022,
author = {Shushman Choudhury and Jayesh K. Gupta and Peter Morales and Mykel J. Kochenderfer},
journal = jair,
title = {Scalable online planning for multi-agent {MDPs}},
year = {2022},
pages = {821--846},
volume = {73},
doi = {10.1613/jair.1.13261},
}

M. J. Kochenderfer, T. A. Wheeler, and K. H. Wray, Algorithms for Decision Making, MIT Press, 2022.
[Bibtex]

@Book{Kochenderfer2022,
author = {Mykel J. Kochenderfer and Tim A. Wheeler and Kyle H. Wray},
publisher = {MIT Press},
title = {Algorithms for Decision Making},
year = {2022},
url = {https://mitpress.mit.edu/9780262047012/algorithms-for-decision-making/},
}

J. Mern, K. Hatch, R. Silva, C. Hickert, T. Sookoor, and M. J. Kochenderfer, “Autonomous attack mitigation for industrial control systems,” in Workshop on Dependable and Secure Machine Learning, IEEE/IFIP International Conference on Dependable Systems and Networks, 2022.
[Bibtex]

@InProceedings{Mern2022,
author = {John Mern and Kyle Hatch and Ryan Silva and Cameron Hickert and Tamim Sookoor and Mykel J. Kochenderfer},
booktitle = {Workshop on Dependable and Secure Machine Learning, IEEE/IFIP International Conference on Dependable Systems and Networks},
title = {Autonomous attack mitigation for industrial control systems},
year = {2022},
doi = {10.1109/DSN-W54100.2022.00015},
url = {https://arxiv.org/abs/2111.02445},
}

S. Y. W. Low and M. J. Kochenderfer, “Optimal pointing sequences in spacecraft formation flying using online planning with resource constraints,” in Conference on Learning for Dynamics and Control (L4DC), 2022.
[Bibtex]

@InProceedings{Low2022,
author = {Samuel Y. W. Low and Mykel J. Kochenderfer},
booktitle = {Conference on Learning for Dynamics and Control (L4DC)},
title = {Optimal pointing sequences in spacecraft formation flying using online planning with resource constraints},
year = {2022},
url = {https://proceedings.mlr.press/v168/low22a/low22a.pdf},
}

G. Pettet, A. Mukhopadhyay, M. J. Kochenderfer, and A. Dubey, “Hierarchical planning for dynamic resource allocation in smart and connected communities,” ACM Transactions on Cyber-Physical Systems, vol. 6, iss. 4, p. 1–26, 2022.
[Bibtex]

@Article{Pettet2022,
author = {Geoffrey Pettet and Ayan Mukhopadhyay and Mykel J. Kochenderfer and Abhishek Dubey},
journal = {{ACM} Transactions on Cyber-Physical Systems},
title = {Hierarchical planning for dynamic resource allocation in smart and connected communities},
year = {2022},
number = {4},
pages = {1--26},
volume = {6},
doi = {10.1145/3502869},
}

Y. Wang, M. Zechner, J. M. Mern, M. J. Kochenderfer, and J. K. Caers, “A sequential decision-making framework with uncertainty quantification for groundwater management,” Advances in Water Resources, vol. 166, iss. 104266, p. 1–17, 2022.
[Bibtex]

@Article{Wang2022,
author = {Yizheng Wang and Markus Zechner and John Michael Mern and Mykel J. Kochenderfer and Jef Karel Caers},
journal = {Advances in Water Resources},
title = {A sequential decision-making framework with uncertainty quantification for groundwater management},
year = {2022},
number = {104266},
pages = {1--17},
volume = {166},
doi = {10.1016/j.advwatres.2022.104266},
}

A. Bouman, J. Ott, S. Kim, K. Chen, M. J. Kochenderfer, B. Lopez, A. Agha-mohammadi, and J. Burdick, “Adaptive coverage path planning for efficient exploration of unknown environments,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[Bibtex]

@InProceedings{Bouman2022,
author = {Amanda Bouman and Joshua Ott and Sung-Kyun Kim and Kenny Chen and Mykel J. Kochenderfer and Brett Lopez and Ali-akbar Agha-mohammadi and Joel Burdick},
booktitle = iros,
title = {Adaptive coverage path planning for efficient exploration of unknown environments},
year = {2022},
doi = {10.1109/IROS47612.2022.9982287},
}

H. Delecki, M. Itkina, B. Lange, R. Senanayake, and M. J. Kochenderfer, “How do we fail? Stress testing perception in autonomous vehicles,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[Bibtex]

@InProceedings{Delecki2022,
author = {Harrison Delecki and Masha Itkina and Bernard Lange and Ransalu Senanayake and Mykel J. Kochenderfer},
booktitle = iros,
title = {How do we fail? {S}tress testing perception in autonomous vehicles},
year = {2022},
doi = {10.1109/IROS47612.2022.9981724},
url = {https://arxiv.org/abs/2203.14155},
}

M. Toyungyernsub, E. Yel, J. Li, and M. J. Kochenderfer, “Dynamics-aware spatiotemporal occupancy prediction in urban environments,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[Bibtex]

@InProceedings{Toyungyernsub2022,
author = {Maneekwan Toyungyernsub and Esen Yel and Jiachen Li and Mykel J. Kochenderfer},
booktitle = iros,
title = {Dynamics-aware spatiotemporal occupancy prediction in urban environments},
year = {2022},
doi = {10.1109/IROS47612.2022.9981323},
url = {https://arxiv.org/abs/2209.13172},
}

O. Peltzer, A. Bouman, S. Kim, R. Senanayake, J. Ott, H. Delecki, M. Sobue, M. J. Kochenderfer, M. Schwager, J. Burdick, and A. Agha-mohammadi, “FIG-OP: Exploring large-scale unknown environments on a fixed time budget,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[Bibtex]

@InProceedings{Peltzer2022,
author = {Oriana Peltzer and Amanda Bouman and Sung-Kyun Kim and Ransalu Senanayake and Joshua Ott and Harrison Delecki and Mamoru Sobue and Mykel J. Kochenderfer and Mac Schwager and Joel Burdick and Ali-akbar Agha-mohammadi},
booktitle = iros,
title = {{FIG-OP}: {E}xploring large-scale unknown environments on a fixed time budget},
year = {2022},
doi = {10.1109/IROS47612.2022.9981271},
url = {https://arxiv.org/abs/2203.06316},
}

K. Wray, S. Tiomkin, M. J. Kochenderfer, and P. Abbeel, “Multi-objective policy gradients with topological constraints,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[Bibtex]

@InProceedings{Wray2022,
author = {Kyle Wray and Stas Tiomkin and Mykel J. Kochenderfer and Pieter Abbeel},
booktitle = iros,
title = {Multi-objective policy gradients with topological constraints},
year = {2022},
doi = {10.1109/IROS47612.2022.9982278},
url = {https://arxiv.org/abs/2209.07096},
}

S. M. Katz, A. L. Corso, C. A. Strong, and M. J. Kochenderfer, “Verification of image-based neural network controllers using generative models,” Journal of Aerospace Information Systems, vol. 19, iss. 9, p. 574–584, 2022.
[Bibtex]

@Article{Katz2022,
author = {Sydney M. Katz and Anthony L. Corso and Christopher A. Strong and Mykel J. Kochenderfer},
journal = jais,
title = {Verification of image-based neural network controllers using generative models},
year = {2022},
number = {9},
pages = {574--584},
volume = {19},
doi = {10.2514/1.I011071},
url = {https://arxiv.org/abs/2105.07091},
}

L. Kruse, E. Yel, R. Senanayake, and M. J. Kochenderfer, “Uncertainty-aware online merge planning with learned driver behavior,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022.
[Bibtex]

@InProceedings{Kruse2022,
author = {Liam Kruse and Esen Yel and Ransalu Senanayake and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Uncertainty-aware online merge planning with learned driver behavior},
year = {2022},
doi = {10.1109/ITSC55140.2022.9921831},
url = {https://arxiv.org/abs/2207.05228},
}

L. J. Einstein, R. J. Moss, and M. J. Kochenderfer, “Prioritizing emergency evacuations under compounding levels of uncertainty,” in IEEE Global Humanitarian Technology Conference (GHTC), 2022.
[Bibtex]

@InProceedings{Einstein2022,
author = {Lisa J. Einstein and Robert J. Moss and Mykel J. Kochenderfer},
booktitle = {IEEE Global Humanitarian Technology Conference (GHTC)},
title = {Prioritizing emergency evacuations under compounding levels of uncertainty},
year = {2022},
doi = {10.1109/GHTC55712.2022.9910611},
url = {https://arxiv.org/abs/2210.08975},
}

S. M. Katz, L. E. Alvarez, M. Owen, S. Wu, M. W. Brittain, A. Das, and M. J. Kochenderfer, “Collision risk and operational impact of speed change advisories as aircraft collision avoidance maneuvers,” in AIAA AVIATION Forum, 2022.
[Bibtex]

@InProceedings{Katz2022aviation,
author = {Sydney M. Katz and Luis E. Alvarez and Michael Owen and Samuel Wu and Marc W. Brittain and Anshuman Das and Mykel J. Kochenderfer},
booktitle = {{AIAA} {AVIATION} Forum},
title = {Collision risk and operational impact of speed change advisories as aircraft collision avoidance maneuvers},
year = {2022},
doi = {10.2514/6.2022-3824},
url = {https://arxiv.org/abs/2204.14250},
}

A. Corso, S. M. Katz, C. A. Innes, X. Du, S. Ramamoorthy, and M. J. Kochenderfer, “Risk-driven design of perception systems,” in Advances in Neural Information Processing Systems (NeurIPS), 2022.
[Bibtex]

@InProceedings{Corso2022,
author = {Anthony Corso and Sydney Michelle Katz and Craig A Innes and Xin Du and Subramanian Ramamoorthy and Mykel J. Kochenderfer},
booktitle = neurips,
title = {Risk-driven design of perception systems},
year = {2022},
url = {https://arxiv.org/pdf/2205.10677.pdf},
}

D. Asmar and M. J. Kochenderfer, “Collaborative decision making using action suggestions,” in Advances in Neural Information Processing Systems (NeurIPS), 2022.
[Bibtex]

@InProceedings{Asmar2022,
author = {Dylan Asmar and Mykel J. Kochenderfer},
booktitle = neurips,
title = {Collaborative decision making using action suggestions},
year = {2022},
url = {https://arxiv.org/abs/2209.13160},
}

F. Sun, I. Kauvar, R. Zhang, J. Li, M. J. Kochenderfer, J. Wu, and N. Haber, “Interaction modeling with multiplex attention,” in Advances in Neural Information Processing Systems (NeurIPS), 2022.
[Bibtex]

@InProceedings{Sun2022,
author = {Fan-Yun Sun and Isaac Kauvar and Ruohan Zhang and Jiachen Li and Mykel J. Kochenderfer and Jiajun Wu and Nick Haber},
booktitle = neurips,
title = {Interaction modeling with multiplex attention},
year = {2022},
url = {https://arxiv.org/abs/2208.10660},
}

M. Itkina and M. J. Kochenderfer, “Interpretable self-aware neural networks for robust trajectory prediction,” in Conference on Robot Learning (CoRL), 2022.
[Bibtex]

@InProceedings{Itkina2022corl,
author = {Masha Itkina and Mykel J. Kochenderfer},
booktitle = corl,
title = {Interpretable self-aware neural networks for robust trajectory prediction},
year = {2022},
url = {https://proceedings.mlr.press/v205/itkina23a/itkina23a.pdf},
}

B. Lange, M. Itkina, and M. J. Kochenderfer, “LOPR: Latent Occupancy PRediction using generative models,” ArXiv, iss. 2210.01249, 2022.
[Bibtex]

@Article{Lange2022lopr,
author = {Bernard Lange and Masha Itkina and Mykel J. Kochenderfer},
journal = arxiv,
title = {{LOPR}: {L}atent {O}ccupancy {PR}ediction using generative models},
year = {2022},
number = {2210.01249},
url = {https://arxiv.org/abs/2210.01249},
}

S. Balters, M. R. Schlichting, L. Foland-Ross, S. Brigadoi, J. G. Miller, M. J. Kochenderfer, A. S. Garrett, and A. L. Reiss, “Towards assessing subcortical “deep brain” biomarkers of PTSD with functional near-infrared spectroscopy,” Cerebral Cortex, p. 1–16, 2022.
[Bibtex]

@Article{Balters2022,
author = {Stephanie Balters and Marc R. Schlichting and Lara Foland-Ross and Sabrina Brigadoi and Jonas G. Miller and Mykel J. Kochenderfer and Amy S. Garrett and Allan L. Reiss},
journal = {Cerebral Cortex},
title = {Towards assessing subcortical “deep brain” biomarkers of {PTSD} with functional near-infrared spectroscopy},
year = {2022},
pages = {1--16},
doi = {10.1093/cercor/bhac320},
}

P. Slade, M. J. Kochenderfer, S. L. Delp, and S. H. Collins, “Personalizing exoskeleton assistance while walking in the real world,” Nature, vol. 610, iss. 7931, p. 277–282, 2022.
[Bibtex]

@Article{Slade2022,
author = {Patrick Slade and Mykel J. Kochenderfer and Scott L. Delp and Steven H. Collins},
journal = {Nature},
title = {Personalizing exoskeleton assistance while walking in the real world},
year = {2022},
number = {7931},
pages = {277--282},
volume = {610},
doi = {10.1038/s41586-022-05191-1},
}

Z. Shahrooei, M. J. Kochenderfer, and A. Baheri, “Falsification of learning-based controllers through multi-fidelity Bayesian optimization,” in European Control Conference (ECC), 2022.
[Bibtex]

@InProceedings{Shahrooei2022,
author = {Shahrooei, Zahra and Kochenderfer, Mykel J. and Baheri, Ali},
booktitle = {European Control Conference (ECC)},
title = {Falsification of learning-based controllers through multi-fidelity {B}ayesian optimization},
year = {2022},
doi = {10.23919/ECC57647.2023.10178417},
url = {https://arxiv.org/abs/2212.14118},
}

A. Corso, Y. Wang, M. Zechner, J. Caers, and M. J. Kochenderfer, “A POMDP model for safe geological carbon sequestration,” in Workshop on Tackling Climate Change with Machine Learning, Advances in Neural Information Processing Systems (NeurIPS), 2022.
[Bibtex]

@InProceedings{Corso2022carbon,
author = {Corso, Anthony and Wang, Yizheng and Zechner, Markus and Caers, Jef and Kochenderfer, Mykel J.},
booktitle = {Workshop on Tackling Climate Change with Machine Learning, } # neurips,
title = {A {POMDP} model for safe geological carbon sequestration},
year = {2022},
doi = {10.48550/ARXIV.2212.00669},
}

A. Corso, K. Kim, S. Gupta, G. Gao, and M. J. Kochenderfer, “A deep reinforcement learning approach to rare event estimation,” ArXiv, 2022.
[Bibtex]

@Article{Corso2022rare,
author = {Corso, Anthony and Kim, Kyu-Young and Gupta, Shubh and Gao, Grace and Kochenderfer, Mykel J.},
journal = arxiv,
title = {A deep reinforcement learning approach to rare event estimation},
year = {2022},
url = {https://arxiv.org/abs/2211.12470},
}

J. Betterton, “Reinforcement learning for adaptive sampling in X-ray applications,” PhD Thesis, 2022.
[Bibtex]

@PhdThesis{Betterton2022phd,
author = {Jean-Raymond Betterton},
school = {Stanford University},
title = {Reinforcement learning for adaptive sampling in {X}-ray applications},
year = {2022},
url = {https://searchworks.stanford.edu/view/14314901},
}

M. Itkina, “Uncertainty-aware spatiotemporal perception for autonomous vehicles,” PhD Thesis, 2022.
[Bibtex]

@PhdThesis{Itkina2022phd,
author = {Masha Itkina},
school = {Stanford University},
title = {Uncertainty-aware spatiotemporal perception for autonomous vehicles},
year = {2022},
url = {https://searchworks.stanford.edu/view/14230541},
}

C. Lazarus, “Trustworthy machine learning by efficiently verifying compressed models,” PhD Thesis, 2022.
[Bibtex]

@PhdThesis{Lazarus2022phd,
author = {Chris Lazarus},
school = {Stanford University},
title = {Trustworthy machine learning by efficiently verifying compressed models},
year = {2022},
url = {https://searchworks.stanford.edu/view/14232877},
}

S. Li, “Structured cooperative multi-agent coordination,” PhD Thesis, 2022.
[Bibtex]

@PhdThesis{Li2022phd,
author = {Sheng Li},
school = {Stanford University},
title = {Structured cooperative multi-agent coordination},
year = {2022},
url = {https://purl.stanford.edu/cr844qy0850},
}

C. Sidrane, “Neural network verification for nonlinear systems,” PhD Thesis, 2022.
[Bibtex]

@PhdThesis{Sidrane2022phd,
author = {Chelsea Sidrane},
school = {Stanford University},
title = {Neural network verification for nonlinear systems},
year = {2022},
url = {https://searchworks.stanford.edu/view/14314921},
}

R. Tompa, “Optimal aircraft rerouting during space launches,” PhD Thesis, 2022.
[Bibtex]

@PhdThesis{Tompa2019phd,
author = {Rachael Tompa},
school = {Stanford University},
title = {Optimal aircraft rerouting during space launches},
year = {2022},
url = {https://stacks.stanford.edu/file/druid:kp546yk7234/tompaThesis-augmented.pdf},
}

2021

C. Liu, T. Arnon, C. Lazarus, C. Strong, C. Barrett, and M. J. Kochenderfer, “Algorithms for verifying deep neural networks,” Foundations and Trends in Optimization, vol. 4, iss. 3–4, p. 244–404, 2021.
[Bibtex]

@Article{Liu2021,
author = {Changliu Liu and Tomer Arnon and Christopher Lazarus and Christopher Strong and Clark Barrett and Mykel J. Kochenderfer},
journal = {Foundations and Trends in Optimization},
title = {Algorithms for verifying deep neural networks},
year = {2021},
number = {3--4},
pages = {244--404},
volume = {4},
doi = {10.1561/2400000035},
url = {https://arxiv.org/abs/1903.06758},
}

A. Corso, R. J. Moss, M. Koren, R. Lee, and M. J. Kochenderfer, “A survey of algorithms for black-box safety validation of cyber-physical systems,” Journal of Artificial Intelligence Research, vol. 72, iss. 2005.02979, p. 377–428, 2021.
[Bibtex]

@Article{Corso2021survey,
author = {Anthony Corso and Robert J. Moss and Mark Koren and Ritchie Lee and Mykel J. Kochenderfer},
journal = jair,
title = {A survey of algorithms for black-box safety validation of cyber-physical systems},
year = {2021},
number = {2005.02979},
pages = {377--428},
volume = {72},
doi = {10.1613/jair.1.12716},
}

J. Nitsch, M. Itkina, R. Senanayake, J. Nieto, M. Schmidt, R. Siegwart, M. J. Kochenderfer, and C. Cadena, “Out-of-distribution detection for automotive perception,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021.
[Bibtex]

@InProceedings{Nitsch2021,
author = {Julia Nitsch and Masha Itkina and Ransalu Senanayake and Juan Nieto and Max Schmidt and Roland Siegwart and Mykel J. Kochenderfer and Cesar Cadena},
booktitle = itsc,
title = {Out-of-distribution detection for automotive perception},
year = {2021},
url = {https://arxiv.org/abs/2011.01413},
}

K. Hatch, J. Mern, and M. J. Kochenderfer, “Obstacle avoidance using a monocular camera,” in AIAA Science and Technology Forum (SciTech), 2021.
[Bibtex]

@InProceedings{Hatch2021,
author = {Kyle Hatch and John Mern and Mykel J. Kochenderfer},
booktitle = scitech,
title = {Obstacle avoidance using a monocular camera},
year = {2021},
doi = {10.2514/6.2021-0269},
url = {https://arxiv.org/abs/2012.01608},
}

J. Mern, A. Yildiz, Z. Sunberg, T. Mukerji, and M. J. Kochenderfer, “Bayesian optimized Monte Carlo planning,” in AAAI Conference on Artificial Intelligence (AAAI), 2021.
[Bibtex]

@InProceedings{Mern2021,
author = {John Mern and Anil Yildiz and Zachary Sunberg and Tapan Mukerji and Mykel J. Kochenderfer},
booktitle = aaai,
title = {Bayesian optimized {M}onte {C}arlo planning},
year = {2021},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/17411},
}

J. Mern, A. Yildiz, L. Bush, T. Mukerji, and M. J. Kochenderfer, “Improved POMDP tree search planning with prioritized action branching,” in AAAI Conference on Artificial Intelligence (AAAI), 2021.
[Bibtex]

@InProceedings{Mern2021prioritized,
author = {John Mern and Anil Yildiz and Lawrence Bush and Tapan Mukerji and Mykel J. Kochenderfer},
booktitle = aaai,
title = {Improved {POMDP} tree search planning with prioritized action branching},
year = {2021},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/17412},
}

A. Corso and M. J. Kochenderfer, “Transfer learning for efficient iterative safety validation,” in AAAI Conference on Artificial Intelligence (AAAI), 2021.
[Bibtex]

@InProceedings{Corso2021,
author = {Anthony Corso and Mykel J. Kochenderfer},
booktitle = aaai,
title = {Transfer learning for efficient iterative safety validation},
year = {2021},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/16876},
}

M. Toyungyernsub, M. Itkina, R. Senanayake, and M. J. Kochenderfer, “Double-prong ConvLSTM for spatiotemporal occupancy prediction in dynamic environments,” in IEEE International Conference on Robotics and Automation (ICRA), 2021.
[Bibtex]

@InProceedings{Toyungyernsub2021,
author = {Maneekwan Toyungyernsub and Masha Itkina and Ransalu Senanayake and Mykel J. Kochenderfer},
booktitle = icra,
title = {Double-prong {ConvLSTM} for spatiotemporal occupancy prediction in dynamic environments},
year = {2021},
doi = {10.1109/ICRA48506.2021.9561940},
url = {https://arxiv.org/abs/2011.09045},
}

G. Pettet, A. Mukhopadhyay, M. J. Kochenderfer, and A. Dubey, “Hierarchical planning for resource allocation in emergency response systems,” in ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2021.
[Bibtex]

@InProceedings{Pettet2021,
author = {Geoffrey Pettet and Ayan Mukhopadhyay and Mykel J. Kochenderfer and Abhishek Dubey},
booktitle = {ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)},
title = {Hierarchical planning for resource allocation in emergency response systems},
year = {2021},
url = {https://arxiv.org/pdf/2012.13300.pdf},
}

S. Choudhury, J. Gupta, P. Morales, and M. J. Kochenderfer, “Scalable anytime planning for multi-agent MDPs,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021.
[Bibtex]

@InProceedings{Choudhury2021aamas,
author = {Shushman Choudhury and Jayesh Gupta and Peter Morales and Mykel J. Kochenderfer},
booktitle = aamas,
title = {Scalable anytime planning for multi-agent {MDP}s},
year = {2021},
url = {https://arxiv.org/abs/2101.04788},
}

S. Li, J. K. Gupta, P. Morales, R. Allen, and M. J. Kochenderfer, “Deep implicit coordination graphs for multi-agent reinforcement learning,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021.
[Bibtex]

@InProceedings{Li2021,
author = {Sheng Li and Jayesh K. Gupta and Peter Morales and Ross Allen and Mykel J. Kochenderfer},
booktitle = aamas,
title = {Deep implicit coordination graphs for multi-agent reinforcement learning},
year = {2021},
url = {https://arxiv.org/pdf/2006.11438.pdf},
}

K. D. Julian and M. J. Kochenderfer, “Reachability analysis for neural network aircraft collision avoidance systems,” Journal of Guidance, Control, and Dynamics, vol. 44, iss. 6, p. 1132–1142, 2021.
[Bibtex]

@Article{Julian2021,
author = {Kyle D. Julian and Mykel J. Kochenderfer},
journal = jgcd,
title = {Reachability analysis for neural network aircraft collision avoidance systems},
year = {2021},
number = {6},
pages = {1132--1142},
volume = {44},
doi = {10.2514/1.G005233},
}

J. Morton, F. D. Witherden, and M. J. Kochenderfer, “Parameter-conditioned sequential generative modeling of fluid flows,” AIAA Journal, vol. 59, iss. 3, p. 825–841, 2021.
[Bibtex]

@Article{Morton2021,
author = {Jeremy Morton and Freddie D. Witherden and Mykel J. Kochenderfer},
journal = {AIAA Journal},
title = {Parameter-conditioned sequential generative modeling of fluid flows},
year = {2021},
number = {3},
pages = {825--841},
volume = {59},
doi = {10.2514/1.J059315},
url = {https://arxiv.org/pdf/1912.06752.pdf},
}

S. Choudhury, K. Solovey, M. J. Kochenderfer, and M. Pavone, “Efficient large-scale multi-drone delivery using transit networks,” Journal of Artificial Intelligence Research, vol. 70, p. 757–788, 2021.
[Bibtex]

@Article{Choudhury2021,
author = {Shushman Choudhury and Kiril Solovey and Mykel J. Kochenderfer and Marco Pavone},
journal = jair,
title = {Efficient large-scale multi-drone delivery using transit networks},
year = {2021},
pages = {757--788},
volume = {70},
doi = {10.1613/jair.1.12450},
}

S. M. Katz, A. Maleki, E. BÄ±yÄ±k, and M. J. Kochenderfer, “Preference-based learning of reward function features,” ArXiv, iss. 2103.02727, 2021.
[Bibtex]

@Article{Katz2021,
author = {Sydney M. Katz and Amir Maleki and Erdem BÄ±yÄ±k and Mykel J. Kochenderfer},
journal = arxiv,
title = {Preference-based learning of reward function features},
year = {2021},
number = {2103.02727},
url = {https://arxiv.org/abs/2103.02727},
}

D. Eddy and M. J. Kochenderfer, “A maximum independent set method for scheduling earth observing satellite constellations,” Journal of Spacecraft and Rockets, vol. 58, iss. 5, pp. 1416-1429, 2021.
[Bibtex]

@Article{Eddy2021,
author = {Duncan Eddy and Mykel J. Kochenderfer},
journal = {Journal of Spacecraft and Rockets},
title = {A maximum independent set method for scheduling earth observing satellite constellations},
year = {2021},
number = {5},
pages = {1416-1429},
volume = {58},
doi = {10.2514/1.A34931},
url = {https://arxiv.org/abs/2008.08446},
}

S. Li, Y. Zhou, R. Allen, and M. J. Kochenderfer, “Learning emergent discrete message communication for cooperative reinforcement learning,” ArXiv, 2021.
[Bibtex]

@Article{Li2021a,
author = {Sheng Li and Yutai Zhou and Ross Allen and Mykel J. Kochenderfer},
journal = arxiv,
title = {Learning emergent discrete message communication for cooperative reinforcement learning},
year = {2021},
url = {https://arxiv.org/abs/2102.12550},
}

X. Ma, J. Li, M. J. Kochenderfer, D. Isele, and K. Fujimura, “Reinforcement learning for autonomous driving with latent state inference and spatial-temporal relationships,” in IEEE International Conference on Robotics and Automation (ICRA), 2021.
[Bibtex]

@InProceedings{Ma2021,
author = {Xiaobai Ma and Jiachen Li and Mykel J. Kochenderfer and David Isele and Kikuo Fujimura},
booktitle = icra,
title = {Reinforcement learning for autonomous driving with latent state inference and spatial-temporal relationships},
year = {2021},
doi = {10.1109/ICRA48506.2021.9562006},
url = {https://arxiv.org/abs/2011.04251},
}

N. Moehle, M. J. Kochenderfer, S. Boyd, and A. Ang, “Tax-aware portfolio construction via convex optimization,” Journal of Optimization Theory and Applications, vol. 189, p. 364–383, 2021.
[Bibtex]

@Article{Moehle2021,
author = {Nicholas Moehle and Mykel J. Kochenderfer and Stephen Boyd and Andrew Ang},
journal = {Journal of Optimization Theory and Applications},
title = {Tax-aware portfolio construction via convex optimization},
year = {2021},
pages = {364--383},
volume = {189},
doi = {10.1007/s10957-021-01823-0},
url = {https://arxiv.org/abs/2008.04985},
}

K. Menda, L. Laird, M. J. Kochenderfer, and R. S. Caceres, “Explaining COVID-19 outbreaks with reactive SEIRD models,” Scientific Reports, vol. 11, iss. 17905, 2021.
[Bibtex]

@Article{Menda2021,
author = {Kunal Menda and Lucas Laird and Mykel J. Kochenderfer and Rajmonda S. Caceres},
journal = {Scientific Reports},
title = {Explaining {COVID}-19 outbreaks with reactive {SEIRD} models},
year = {2021},
number = {17905},
volume = {11},
doi = {10.1038/s41598-021-97260-0},
}

S. M. Katz, A. L. Corso, C. A. Strong, and M. J. Kochenderfer, “Verification of image-based neural network controllers using generative models,” in Digital Avionics Systems Conference (DASC), 2021.
[Bibtex]

@InProceedings{Katz2021dasc,
author = {Sydney M. Katz and Anthony L. Corso and Christopher A. Strong and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Verification of image-based neural network controllers using generative models},
year = {2021},
doi = {10.1109/DASC52595.2021.9594360},
url = {https://arxiv.org/pdf/2105.07091.pdf},
}

K. Menda, J. K. Gupta, Z. Manchester, and M. J. Kochenderfer, “Training structured mechanical models by minimizing discrete Euler-Lagrange residuals,” ArXiv, iss. 2105.01811, 2021.
[Bibtex]

@Article{Menda2021residuals,
author = {Kunal Menda and Jayesh K. Gupta and Zachary Manchester and Mykel J. Kochenderfer},
journal = arxiv,
title = {Training structured mechanical models by minimizing discrete {E}uler-{L}agrange residuals},
year = {2021},
number = {2105.01811},
url = {https://arxiv.org/abs/2105.01811},
}

R. E. Allen, J. K. Gupta, J. Pena, Y. Zhou, J. W. Bear, and M. J. Kochenderfer, “Health-informed policy gradients for multi-agent reinforcement learning,” in Workshop on Optimization and Learning in Multiagent Systems, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021.
[Bibtex]

@InProceedings{Allen2021,
author = {Ross E. Allen and Jayesh K. Gupta and Jaime Pena and Yutai Zhou and Javona White Bear and Mykel J. Kochenderfer},
booktitle = {Workshop on Optimization and Learning in Multiagent Systems, } # aamas,
title = {Health-informed policy gradients for multi-agent reinforcement learning},
year = {2021},
url = {https://arxiv.org/pdf/1908.01022.pdf},
}

J. Mern and M. J. Kochenderfer, “Measurable Monte Carlo search error bounds,” ArXiv, iss. 2106.04715, 2021.
[Bibtex]

@Article{Mern2021bounds,
author = {John Mern and Mykel J. Kochenderfer},
journal = arxiv,
title = {Measurable {M}onte {C}arlo search error bounds},
year = {2021},
number = {2106.04715},
url = {https://arxiv.org/abs/2106.04715},
}

P. Slade, M. J. Kochenderfer, S. L. Delp, and S. H. Collins, “Sensing leg movement enhances wearable monitoring of energy expenditure,” Nature Communications, vol. 12, iss. 4312, 2021.
[Bibtex]

@Article{Slade2021monitor,
author = {Patrick Slade and Mykel J. Kochenderfer and Scott L. Delp and Steve H. Collins},
journal = {Nature Communications},
title = {Sensing leg movement enhances wearable monitoring of energy expenditure},
year = {2021},
number = {4312},
volume = {12},
doi = {10.1038/s41467-021-24173-x},
}

M. Koren, A. Nassar, and M. J. Kochenderfer, “Finding failures in high-fidelity simulation using adaptive stress testing and the backward algorithm,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[Bibtex]

@InProceedings{Koren2021,
author = {Mark Koren and Ahmed Nassar and Mykel J. Kochenderfer},
booktitle = iros,
title = {Finding failures in high-fidelity simulation using adaptive stress testing and the backward algorithm},
year = {2021},
doi = {10.1109/IROS51168.2021.9636072},
url = {https://arxiv.org/abs/2107.12940},
}

R. Senanayake, K. B. Hatch, J. Z. Zheng, and M. J. Kochenderfer, “3D velocity maps for uncertain dynamic urban environments,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[Bibtex]

@InProceedings{Senanayake2021,
author = {Ransalu Senanayake and Kyle Beltran Hatch and Jason Ziming Zheng and Mykel J. Kochenderfer},
booktitle = iros,
title = {3{D} velocity maps for uncertain dynamic urban environments},
year = {2021},
doi = {10.1109/IROS51168.2021.9636019},
url = {https://arxiv.org/abs/2107.11039},
}

B. Lange, M. Itkina, and M. J. Kochenderfer, “Attention augmented ConvLSTM for environment prediction,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[Bibtex]

@InProceedings{Lange2021,
author = {Bernard Lange and Masha Itkina and Mykel J. Kochenderfer},
booktitle = iros,
title = {Attention augmented {ConvLSTM} for environment prediction},
year = {2021},
doi = {10.1109/IROS51168.2021.9636386},
url = {https://arxiv.org/abs/2010.09662},
}

R. Bhattacharyya, S. Jung, L. Kruse, R. Senanayake, and M. J. Kochenderfer, “A hybrid rule-based and data-driven approach to driver modeling through particle filtering,” IEEE Transactions on Intelligent Transportation Systems, iss. 2108.12820, 2021.
[Bibtex]

@Article{Bhattacharyya2021hybrid,
author = {Raunak Bhattacharyya and Soyeon Jung and Liam Kruse and Ransalu Senanayake and Mykel J. Kochenderfer},
journal = ieeetits,
title = {A hybrid rule-based and data-driven approach to driver modeling through particle filtering},
year = {2021},
number = {2108.12820},
doi = {10.1109/TITS.2021.3119415},
url = {https://arxiv.org/abs/2108.12820},
}

P. Slade, A. Tambe, and M. J. Kochenderfer, “Multimodal sensing and intuitive steering assistance improve navigation and mobility for people with impaired vision,” Science Robotics, vol. 6, iss. 59, p. 1–13, 2021.
[Bibtex]

@Article{Slade2021,
author = {Patrick Slade and Arjun Tambe and Mykel J. Kochenderfer},
journal = {Science Robotics},
title = {Multimodal sensing and intuitive steering assistance improve navigation and mobility for people with impaired vision},
year = {2021},
number = {59},
pages = {1--13},
volume = {6},
doi = {10.1126/scirobotics.abg6594},
}

S. Choudhury, J. K. Gupta, M. J. Kochenderfer, D. Sadigh, and J. Bohg, “Dynamic multi-robot task allocation under uncertainty and temporal constraints,” Autonomous Robots, 2021.
[Bibtex]

@Article{Choudhury2021auro,
author = {Shushman Choudhury and Jayesh K. Gupta and Mykel J. Kochenderfer and Dorsa Sadigh and Jeannette Bohg},
journal = {Autonomous Robots},
title = {Dynamic multi-robot task allocation under uncertainty and temporal constraints},
year = {2021},
doi = {10.1007/s10514-021-10022-9},
}

P. Chen, M. Itkina, R. Senanayake, and M. J. Kochenderfer, “Evidential softmax for sparse multimodal distributions in deep generative models,” in Advances in Neural Information Processing Systems (NeurIPS), 2021.
[Bibtex]

@InProceedings{Chen2021,
author = {Phil Chen and Masha Itkina and Ransalu Senanayake and Mykel J. Kochenderfer},
booktitle = neurips,
title = {Evidential softmax for sparse multimodal distributions in deep generative models},
year = {2021},
url = {https://arxiv.org/pdf/2110.14182.pdf},
}

L. Kruse, A. Reiss, M. J. Kochenderfer, and S. Balters, “Dyadic sex composition and task classification using fNIRS hyperscanning data,” in IEEE International Conference on Machine Learning and Applications, 2021.
[Bibtex]

@InProceedings{Kruse2021,
author = {Liam Kruse and Allan Reiss and Mykel J. Kochenderfer and Stephanie Balters},
booktitle = {IEEE International Conference on Machine Learning and Applications},
title = {Dyadic sex composition and task classification using {fNIRS} hyperscanning data},
year = {2021},
url = {https://arxiv.org/abs/2112.03911},
}

T. Diao, F. Kushzad, M. D. Patel, M. P. Bindiganavale, M. Wasi, M. J. Kochenderfer, and H. E. Moss, “Comparison of machine learning approaches to improve diagnosis of optic neuropathy using photopic negative response measured using a handheld device,” Frontiers in Medicine, vol. 8, iss. 771713, 2021.
[Bibtex]

@Article{Diao2021,
author = {Tina Diao and Fareshta Kushzad and Megh D. Patel and Megha P. Bindiganavale and Munam Wasi and Mykel J. Kochenderfer and Heather E. Moss},
journal = {Frontiers in Medicine},
title = {Comparison of machine learning approaches to improve diagnosis of optic neuropathy using photopic negative response measured using a handheld device},
year = {2021},
number = {771713},
volume = {8},
doi = {10.3389/fmed.2021.771713},
}

G. Katz, C. Barrett, D. L. Dill, K. D. Julian, and M. J. Kochenderfer, “Reluplex: a calculus for reasoning about deep neural networks,” Formal Methods in System Design, 2021.
[Bibtex]

@Article{Katz2021reluplex,
author = {Guy Katz and Clark Barrett and David L. Dill and Kyle D. Julian and Mykel J. Kochenderfer},
journal = {Formal Methods in System Design},
title = {Reluplex: a calculus for reasoning about deep neural networks},
year = {2021},
doi = {10.1007/s10703-021-00363-7},
}

S. Singla, A. Mukhopadhyay, M. Wilbur, T. Diao, V. Gajjewar, A. Eldawy, M. J. Kochenderfer, R. Shachter, and A. Dubey, “WildfireDB: An open-source dataset connecting wildfire spread with relevant determinants,” in Advances in Neural Information Processing Systems (NeurIPS), 2021.
[Bibtex]

@InProceedings{Singla2021,
author = {Samriddhi Singla and Ayan Mukhopadhyay and Michael Wilbur and Tina Diao and Vinayak Gajjewar and Ahmed Eldawy and Mykel J. Kochenderfer and Ross Shachter and Abhishek Dubey},
booktitle = neurips,
title = {{WildfireDB}: An open-source dataset connecting wildfire spread with relevant determinants},
year = {2021},
url = {https://openreview.net/pdf?id=6nblryHxVbO},
}

A. Jamgochian, K. Menda, and M. J. Kochenderfer, “Multi-vehicle control in roundabouts using decentralized game-theoretic planning,” in Workshop on Artificial Intelligence for Autonomous Driving, International Joint Conference on Artificial Intelligence (IJCAI), 2021.
[Bibtex]

@InProceedings{Jamgochian2021,
author = {Arec Jamgochian and Kunal Menda and Mykel J. Kochenderfer},
booktitle = {Workshop on Artificial Intelligence for Autonomous Driving, } # ijcai,
title = {Multi-vehicle control in roundabouts using decentralized game-theoretic planning},
year = {2021},
url = {https://arxiv.org/abs/2201.02718},
}

R. Bhattacharyya, “Modeling human driving from demonstrations,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Bhattacharyya2021phd,
author = {Raunak Bhattacharyya},
school = {Stanford University},
title = {Modeling human driving from demonstrations},
year = {2021},
url = {https://stacks.stanford.edu/file/druid:ws309yz7055/Thesis_RaunakBhattacharyya_Feb2021-augmented.pdf},
}

K. Brown, “Algorithms for multi-agent robotic assembly planning,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Brown2021phd,
author = {Kyle Brown},
school = {Stanford University},
title = {Algorithms for multi-agent robotic assembly planning},
year = {2021},
url = {https://stacks.stanford.edu/file/druid:qf931ph2309/thesis-augmented.pdf},
}

S. Choudhury, “Hierarchical decision making in coordinated multi-robot networks,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Choudhury2021phd,
author = {Shushman Choudhury},
school = {Stanford University},
title = {Hierarchical decision making in coordinated multi-robot networks},
year = {2021},
url = {https://stacks.stanford.edu/file/druid:xt716fk9099/hierarchical_decision_making_multirobot_networks_shushman_choudhury-augmented.pdf},
}

A. Corso, “Algorithms for black-box safety validation,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Corso2021phd,
author = {Anthony Corso},
school = {Stanford University},
title = {Algorithms for black-box safety validation},
year = {2021},
url = {https://stacks.stanford.edu/file/druid:xw289mz1340/thesis-augmented.pdf},
}

D. Eddy, “Task planning for earth observing satellite systems,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Eddy2021phd,
author = {Duncan Eddy},
school = {Stanford University},
title = {Task planning for earth observing satellite systems},
year = {2021},
url = {https://stacks.stanford.edu/file/druid:fp397ds6833/eddy_thesis_final-augmented.pdf},
}

M. Itkina, “Perception beyond sensors under uncertainty,” in Doctoral Consortium, AAAI Conference on Artificial Intelligence (AAAI), 2021.
[Bibtex]

@InProceedings{Itkina2021,
author = {Masha Itkina},
booktitle = {Doctoral Consortium, AAAI Conference on Artificial Intelligence (AAAI)},
title = {Perception beyond sensors under uncertainty},
year = {2021},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/17855},
}

M. Koren, “Approximate methods for validating autonomous systems in simulation,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Koren2021phd,
author = {Mark Koren},
school = {Stanford University},
title = {Approximate methods for validating autonomous systems in simulation},
year = {2021},
url = {https://stacks.stanford.edu/file/druid:pv383pd8838/ApproximateMethodsForValidatingAutonomousSystemsInSimulation-augmented.pdf},
}

X. Ma, “Deep reinforcement learning methods for autonomous driving safety and interactivity,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Ma2021phd,
author = {Xiaobai Ma},
school = {Stanford University},
title = {Deep reinforcement learning methods for autonomous driving safety and interactivity},
year = {2021},
url = {https://searchworks.stanford.edu/view/13971414},
}

K. Menda, “Data-driven modeling of dynamical systems,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Menda2021phd,
author = {Kunal Menda},
school = {Stanford University},
title = {Data-driven modeling of dynamical systems},
year = {2021},
url = {https://stacks.stanford.edu/file/druid:bf544xf3904/Kunal_Menda_Thesis_CameraReady-augmented.pdf},
}

J. Mern, “Monte Carlo planning and reinforcement learning for large scale sequential decision problems,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Mern2021phd,
author = {John Mern},
school = {Stanford University},
title = {Monte {C}arlo planning and reinforcement learning for large scale sequential decision problems},
year = {2021},
url = {https://searchworks.stanford.edu/view/14053224},
}

C. R. Sidrane, “Safety assurance for systems with machine learning components,” in Doctoral Consortium, AAAI Conference on Artificial Intelligence (AAAI), 2021.
[Bibtex]

@InProceedings{Sidrane2021,
author = {Chelsea R. Sidrane},
booktitle = {Doctoral Consortium, AAAI Conference on Artificial Intelligence (AAAI)},
title = {Safety assurance for systems with machine learning components},
year = {2021},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/17864},
}

P. Slade, “Wearable systems for monitoring physical activity and optimizing an exoskeleton,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Slade2021phd,
author = {Patrick Slade},
school = {Stanford University},
title = {Wearable systems for monitoring physical activity and optimizing an exoskeleton},
year = {2021},
url = {https://searchworks.stanford.edu/view/13957229},
}

A. Zanette, “Reinforcement learning: When can we do sample efficient exploration?,” PhD Thesis, 2021.
[Bibtex]

@PhdThesis{Zanette2021phd,
author = {Andrea Zanette},
school = {Stanford University},
title = {Reinforcement learning: {W}hen can we do sample efficient exploration?},
year = {2021},
url = {https://stacks.stanford.edu/file/druid:ns268vs3612/Thesis_submitted-augmented.pdf},
}

2020

R. Lee, O. J. Mengshoel, A. Saksena, R. W. Gardner, D. Genin, J. Silbermann, M. Owen, and M. J. Kochenderfer, “Adaptive stress testing: finding likely failure events with reinforcement learning,” Journal of Artificial Intelligence Research, vol. 69, p. 1165–1201, 2020.
[Bibtex]

@Article{Lee2020,
author = {Ritchie Lee and Ole J. Mengshoel and Anshu Saksena and Ryan W. Gardner and Daniel Genin and Joshua Silbermann and Michael Owen and Mykel J. Kochenderfer},
journal = jair,
title = {Adaptive stress testing: finding likely failure events with reinforcement learning},
year = {2020},
pages = {1165--1201},
volume = {69},
doi = {10.1613/jair.1.12190},
}

D. Eddy and M. J. Kochenderfer, “Markov decision processes for multi-objective satellite task planning,” in IEEE Aerospace Conference, 2020.
[Bibtex]

@InProceedings{Eddy2020,
author = {Duncan Eddy and Mykel J. Kochenderfer},
booktitle = ieeeaero,
title = {Markov decision processes for multi-objective satellite task planning},
year = {2020},
doi = {10.1109/AERO47225.2020.9172258},
url = {https://arxiv.org/abs/1910.08419},
}

M. Bouton, J. Tumova, and M. J. Kochenderfer, “Point-based methods for model checking in partially observable Markov decision processes,” in AAAI Conference on Artificial Intelligence (AAAI), 2020.
[Bibtex]

@InProceedings{Bouton2020aaai,
author = {Maxime Bouton and Jana Tumova and Mykel J. Kochenderfer},
booktitle = aaai,
title = {Point-based methods for model checking in partially observable {M}arkov decision processes},
year = {2020},
doi = {10.1609/aaai.v34i06.6563},
url = {https://arxiv.org/abs/2001.03809},
}

C. Hoel, K. Driggs-Campbell, K. Wolff, L. Laine, and M. J. Kochenderfer, “Combining planning and deep reinforcement learning in tactical decision making for autonomous driving,” IEEE Transactions on Intelligent Vehicles, vol. 5, iss. 2, pp. 294-305, 2020.
[Bibtex]

@Article{Hoel2020,
author = {Carl-Johan Hoel and Katherine Driggs-Campbell and Krister Wolff and Leo Laine and Mykel J. Kochenderfer},
journal = ieeetiv,
title = {Combining planning and deep reinforcement learning in tactical decision making for autonomous driving},
year = {2020},
number = {2},
pages = {294-305},
volume = {5},
doi = {10.1109/TIV.2019.2955905},
url = {https://arxiv.org/abs/1905.02680},
}

J. Mern, D. Sadigh, and M. J. Kochenderfer, “Exchangeable input representations for reinforcement learning,” in American Control Conference (ACC), 2020.
[Bibtex]

@InProceedings{Mern2020,
author = {John Mern and Dorsa Sadigh and Mykel J. Kochenderfer},
booktitle = acc,
title = {Exchangeable input representations for reinforcement learning},
year = {2020},
doi = {10.23919/ACC45564.2020.9147901},
url = {https://arxiv.org/abs/2003.09022},
}

R. Bhattacharyya, R. Senanayake, K. Brown, and M. J. Kochenderfer, “Online parameter estimation for human driver behavior prediction,” in American Control Conference (ACC), 2020.
[Bibtex]

@InProceedings{Bhattacharyya2020,
author = {Raunak Bhattacharyya and Ransalu Senanayake and Kyle Brown and Mykel J. Kochenderfer},
booktitle = acc,
title = {Online parameter estimation for human driver behavior prediction},
year = {2020},
doi = {10.23919/ACC45564.2020.9147924},
url = {https://arxiv.org/abs/2005.02597},
}

N. Gruver, S. Choudhury, and M. J. Kochenderfer, “Adaptive informative path planning with multimodal sensing,” in International Conference on Automated Planning and Scheduling (ICAPS), 2020.
[Bibtex]

@InProceedings{Gruver2020,
author = {Nate Gruver and Shushman Choudhury and Mykel J. Kochenderfer},
booktitle = icaps,
title = {Adaptive informative path planning with multimodal sensing},
year = {2020},
url = {https://www.aaai.org/ojs/index.php/ICAPS/article/view/6645},
}

B. Wu, J. K. Gupta, and M. J. Kochenderfer, “Model primitives for hierarchical lifelong reinforcement learning,” Autonomous Agents and Multi-Agent Systems, vol. 34, iss. 28, p. 1–38, 2020.
[Bibtex]

@Article{Wu2020,
author = {Bohan Wu and Jayesh K. Gupta and Mykel J. Kochenderfer},
journal = {Autonomous Agents and Multi-Agent Systems},
title = {Model primitives for hierarchical lifelong reinforcement learning},
year = {2020},
number = {28},
pages = {1--38},
volume = {34},
doi = {10.1007/s10458-020-09451-0},
url = {https://arxiv.org/abs/1903.01567},
}

G. Pettet, A. Mukhopadhyay, M. J. Kochenderfer, Y. Vorobeychik, and A. Dubey, “On algorithmic decision procedures in emergency response systems in smart and connected communities,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020.
[Bibtex]

@InProceedings{Pettet2020,
author = {Geoffrey Pettet and Ayan Mukhopadhyay and Mykel J. Kochenderfer and Yevgeniy Vorobeychik and Abhishek Dubey},
booktitle = aamas,
title = {On algorithmic decision procedures in emergency response systems in smart and connected communities},
year = {2020},
url = {http://ifaamas.org/Proceedings/aamas2020/pdfs/p1046.pdf},
}

N. Gruver, J. Song, M. J. Kochenderfer, and S. Ermon, “Multi-agent adversarial inverse reinforcement learning with latent variables,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020.
[Bibtex]

@InProceedings{Gruver2020aamas,
author = {Nate Gruver and Jiaming Song and Mykel J. Kochenderfer and Stefano Ermon},
booktitle = aamas,
title = {Multi-agent adversarial inverse reinforcement learning with latent variables},
year = {2020},
url = {http://ifaamas.org/Proceedings/aamas2020/pdfs/p1855.pdf},
}

X. Ma, J. K. Gupta, and M. J. Kochenderfer, “Normalizing flow model for policy representation in continuous action multi-agent systems,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020.
[Bibtex]

@InProceedings{Ma2020aamas,
author = {Xiaobai Ma and Jayesh K. Gupta and Mykel J. Kochenderfer},
booktitle = aamas,
title = {Normalizing flow model for policy representation in continuous action multi-agent systems},
year = {2020},
doi = {10.1007/978-3-030-64793-3_15},
url = {http://ifaamas.org/Proceedings/aamas2020/pdfs/p1916.pdf},
}

X. Ma, J. K. Gupta, and M. J. Kochenderfer, “Policy representation in continuous action games,” in AAAI Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL) Symposium, 2020.
[Bibtex]

@InProceedings{Ma2020comarl,
author = {Xiaobai Ma and Jayesh K. Gupta and Mykel J. Kochenderfer},
booktitle = {AAAI Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL) Symposium},
title = {Policy representation in continuous action games},
year = {2020},
url = {https://drive.google.com/file/d/1goVTTeUkX2fo9bo3NdZx8IRT3I6DKBko/view},
}

K. Brown, O. Peltzer, M. A. Sehr, M. Schwager, and M. J. Kochenderfer, “Optimal sequential task assignment and path finding for multi-agent robotic assembly planning,” in IEEE International Conference on Robotics and Automation (ICRA), 2020.
[Bibtex]

@InProceedings{Brown2020,
author = {Kyle Brown and Oriana Peltzer and Martin A. Sehr and Mac Schwager and Mykel J. Kochenderfer},
booktitle = icra,
title = {Optimal sequential task assignment and path finding for multi-agent robotic assembly planning},
year = {2020},
doi = {10.1109/ICRA40945.2020.9197527},
url = {https://arxiv.org/abs/2006.08845},
}

J. Betterton, M. J. Kochenderfer, D. Ratner, and S. Webb, “Reinforcement learning for adaptive illumination with x-rays,” in IEEE International Conference on Robotics and Automation (ICRA), 2020.
[Bibtex]

@InProceedings{Betterton2020,
author = {Jean-Raymond Betterton and Mykel J. Kochenderfer and Daniel Ratner and Samuel Webb},
booktitle = icra,
title = {Reinforcement learning for adaptive illumination with x-rays},
year = {2020},
doi = {10.1109/ICRA40945.2020.9196614},
}

S. Li, M. Egorov, and M. J. Kochenderfer, “Analysis of fleet management and infrastructure constraints in on-demand urban air mobility operations,” in AIAA AVIATION, 2020.
[Bibtex]

@InProceedings{Li2020,
author = {Sheng Li and Maxim Egorov and Mykel J. Kochenderfer},
booktitle = aiaa_aviation,
title = {Analysis of fleet management and infrastructure constraints in on-demand urban air mobility operations},
year = {2020},
doi = {10.2514/6.2020-2907},
url = {https://arxiv.org/abs/2008.05535},
}

A. Irfan, K. D. Julian, H. Wu, C. Barrett, M. J. Kochenderfer, B. Meng, and J. Lopez, “Towards verification of neural networks for small unmanned aircraft collision avoidance,” in Digital Avionics Systems Conference (DASC), 2020.
[Bibtex]

@InProceedings{Irfan2020,
author = {Ahmed Irfan and Kyle D. Julian and Haoze Wu and Clark Barrett and Mykel J. Kochenderfer and Baoluo Meng and James Lopez},
booktitle = dasc,
title = {Towards verification of neural networks for small unmanned aircraft collision avoidance},
year = {2020},
doi = {10.1109/DASC50938.2020.9256616},
}

R. J. Moss, R. Lee, N. Visser, and M. J. Kochenderfer, “Adaptive stress testing of trajectory predictions in flight management systems,” in Digital Avionics Systems Conference (DASC), 2020.
[Bibtex]

@InProceedings{Moss2020,
author = {Robert J. Moss and Ritchie Lee and Nicholas Visser and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Adaptive stress testing of trajectory predictions in flight management systems},
year = {2020},
doi = {10.1109/DASC50938.2020.9256730},
url = {https://arxiv.org/abs/2011.02559},
}

C. Lazarus, J. G. Lopez, and M. J. Kochenderfer, “Runtime safety assurance using reinforcement learning,” in Digital Avionics Systems Conference (DASC), 2020.
[Bibtex]

@InProceedings{Lazarus2020,
author = {Christopher Lazarus and James G. Lopez and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Runtime safety assurance using reinforcement learning},
year = {2020},
doi = {10.1109/DASC50938.2020.9256446},
url = {https://arxiv.org/abs/2010.10618},
}

K. D. Julian and M. J. Kochenderfer, “Image-based guidance of autonomous aircraft for wildfire surveillance and predictions,” in Digital Avionics Systems Conference (DASC), 2020.
[Bibtex]

@InProceedings{Julian2020dasc,
author = {Kyle D. Julian and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Image-based guidance of autonomous aircraft for wildfire surveillance and predictions},
year = {2020},
doi = {10.1109/DASC50938.2020.9256602},
url = {https://arxiv.org/abs/1810.02455},
}

J. K. Gupta, K. Menda, Z. Manchester, and M. J. Kochenderfer, “Structured mechanical models for robot learning and control,” in Conference on Learning for Dynamics and Control (L4DC), 2020.
[Bibtex]

@InProceedings{Gupta2020,
author = {Jayesh K. Gupta and Kunal Menda and Zachary Manchester and Mykel J. Kochenderfer},
booktitle = {Conference on Learning for Dynamics and Control (L4DC)},
title = {Structured mechanical models for robot learning and control},
year = {2020},
url = {http://proceedings.mlr.press/v120/gupta20a/gupta20a.pdf},
}

E. Biyik, N. Huynh, M. J. Kochenderfer, and D. Sadigh, “Active preference-based Gaussian process regression for reward learning,” in Robotics: Science and Systems, 2020.
[Bibtex]

@InProceedings{Biyik2020,
author = {Erdem Biyik and Nicolas Huynh and Mykel J. Kochenderfer and Dorsa Sadigh},
booktitle = rss,
title = {Active preference-based {G}aussian process regression for reward learning},
year = {2020},
url = {https://arxiv.org/abs/2005.02575},
}

S. Choudhury, J. K. Gupta, M. J. Kochenderfer, D. Sadigh, and J. Bohg, “Dynamic multi-robot task allocation under uncertainty and temporal constraints,” in Robotics: Science and Systems, 2020.
[Bibtex]

@InProceedings{Choudhury2020,
author = {Shushman Choudhury and Jayesh K. Gupta and Mykel J. Kochenderfer and Dorsa Sadigh and Jeannette Bohg},
booktitle = rss,
title = {Dynamic multi-robot task allocation under uncertainty and temporal constraints},
year = {2020},
url = {https://arxiv.org/abs/2005.13109},
}

R. Senanayake, M. Toyungyernsub, M. Wang, M. J. Kochenderfer, and M. Schwager, “Directional primitives for uncertainty-aware motion estimation in urban environments,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020.
[Bibtex]

@InProceedings{Senanayake2020,
author = {Ransalu Senanayake and Maneekwan Toyungyernsub and Mingyu Wang and Mykel J. Kochenderfer and Mac Schwager},
booktitle = itsc,
title = {Directional primitives for uncertainty-aware motion estimation in urban environments},
year = {2020},
doi = {10.1109/ITSC45102.2020.9294288},
url = {https://arxiv.org/abs/2007.00161},
}

K. D. Julian, R. Lee, and M. J. Kochenderfer, “Validation of image-based neural network controllers through adaptive stress testing,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020.
[Bibtex]

@InProceedings{Julian2020,
author = {Kyle D. Julian and Ritchie Lee and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Validation of image-based neural network controllers through adaptive stress testing},
year = {2020},
doi = {10.1109/ITSC45102.2020.9294549},
url = {https://arxiv.org/abs/2003.02381},
}

M. Bouton, A. Nakhaei, D. Isele, K. Fujimura, and M. J. Kochenderfer, “Reinforcement learning with iterative reasoning for merging in dense traffic,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020.
[Bibtex]

@InProceedings{Bouton2020,
author = {Maxime Bouton and Alireza Nakhaei and David Isele and Kikuo Fujimura and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Reinforcement learning with iterative reasoning for merging in dense traffic},
year = {2020},
doi = {10.1109/ITSC45102.2020.9294338},
url = {https://arxiv.org/abs/2005.11895},
}

A. Corso, R. Lee, and M. J. Kochenderfer, “Scalable autonomous vehicle safety validation through dynamic programming and scene decomposition,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020.
[Bibtex]

@InProceedings{Corso2020,
author = {Anthony Corso and Ritchie Lee and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Scalable autonomous vehicle safety validation through dynamic programming and scene decomposition},
year = {2020},
doi = {10.1109/ITSC45102.2020.9294636},
url = {https://arxiv.org/abs/2004.06801},
}

A. Corso and M. J. Kochenderfer, “Interpretable safety validation for autonomous vehicles,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020.
[Bibtex]

@InProceedings{Corso2020a,
author = {Anthony Corso and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Interpretable safety validation for autonomous vehicles},
year = {2020},
doi = {10.1109/ITSC45102.2020.9294490},
url = {https://arxiv.org/abs/2004.06805},
}

M. Koren and M. J. Kochenderfer, “Adaptive stress testing without domain heuristics using go-explore,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020.
[Bibtex]

@InProceedings{Koren2020,
author = {Mark Koren and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Adaptive stress testing without domain heuristics using go-explore},
year = {2020},
doi = {10.1109/ITSC45102.2020.9294729},
url = {https://arxiv.org/abs/2004.04292},
}

S. Choudhury, K. Solovey, M. J. Kochenderfer, and M. Pavone, “Efficient large-scale multi-drone delivery using transit networks,” in IEEE International Conference on Robotics and Automation (ICRA), 2020.
[Bibtex]

@InProceedings{Choudhury2020icra,
author = {Shushman Choudhury and Kiril Solovey and Mykel J. Kochenderfer and Marco Pavone},
booktitle = icra,
title = {Efficient large-scale multi-drone delivery using transit networks},
year = {2020},
doi = {10.1109/ICRA40945.2020.9197313},
url = {https://arxiv.org/abs/1909.11840},
}

K. Menda, J. de Becdeliévre, J. K. Gupta, I. Kroo, M. J. Kochenderfer, and Z. Manchester, “Scalable identification of partially observed systems with certainty-equivalent EM,” in International Conference on Machine Learning (ICML), 2020.
[Bibtex]

@InProceedings{Menda2020,
author = {Kunal Menda and de Becdeli\'evre, Jean and Jayesh K. Gupta and Ilan Kroo and Mykel J. Kochenderfer and Zachary Manchester},
booktitle = icml,
title = {Scalable identification of partially observed systems with certainty-equivalent {EM}},
year = {2020},
url = {http://proceedings.mlr.press/v119/menda20a/menda20a.pdf},
}

A. Zanette, A. Lazaric, M. J. Kochenderfer, and E. Brunskill, “Learning near optimal policies with low inherent Bellman error,” in International Conference on Machine Learning (ICML), 2020.
[Bibtex]

@InProceedings{Zanette2020,
author = {Andrea Zanette and Alessandro Lazaric and Mykel J. Kochenderfer and Emma Brunskill},
booktitle = icml,
title = {Learning near optimal policies with low inherent {B}ellman error},
year = {2020},
url = {https://arxiv.org/abs/2003.00153},
}

J. Mern, P. Morales, and M. J. Kochenderfer, “Towards recurrent autoregressive flow models,” ArXiv, iss. 2006.10096, 2020.
[Bibtex]

@Article{Mern2020a,
author = {John Mern and Peter Morales and Mykel J. Kochenderfer},
journal = arxiv,
title = {Towards recurrent autoregressive flow models},
year = {2020},
number = {2006.10096},
url = {https://arxiv.org/abs/2006.10096},
}

K. Brown, K. Driggs-Campbell, and M. J. Kochenderfer, “Modeling and prediction of human driver behavior: A survey,” ArXiv, iss. 2006.08832, 2020.
[Bibtex]

@Article{Brown2020a,
author = {Kyle Brown and Katherine Driggs-Campbell and Mykel J. Kochenderfer},
journal = arxiv,
title = {Modeling and prediction of human driver behavior: A survey},
year = {2020},
number = {2006.08832},
url = {https://arxiv.org/abs/2006.08832},
}

M. Itkina, B. Ivanovic, R. Senanayake, M. J. Kochenderfer, and M. Pavone, “Evidential sparsification of multimodal latent spaces in conditional variational autoencoders,” in Advances in Neural Information Processing Systems (NeurIPS), 2020.
[Bibtex]

@InProceedings{Itkina2020,
author = {Masha Itkina and Boris Ivanovic and Ransalu Senanayake and Mykel J. Kochenderfer and Marco Pavone},
booktitle = neurips,
title = {Evidential sparsification of multimodal latent spaces in conditional variational autoencoders},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/file/73f95ee473881dea4afd89c06165fa66-Paper.pdf},
}

J. You, X. Ma, D. Y. Ding, M. J. Kochenderfer, and J. Leskovec, “Handling missing data with graph representation learning,” in Advances in Neural Information Processing Systems (NeurIPS), 2020.
[Bibtex]

@InProceedings{You2020,
author = {Jiaxuan You and Xiaobai Ma and Daisy Yi Ding and Mykel J. Kochenderfer and Jure Leskovec},
booktitle = neurips,
title = {Handling missing data with graph representation learning},
year = {2020},
url = {https://arxiv.org/abs/2010.16418},
}

A. Zanette, A. Lazaric, M. J. Kochenderfer, and E. Brunskill, “Provably efficient reward-agnostic navigation with linear value iteration,” in Advances in Neural Information Processing Systems (NeurIPS), 2020.
[Bibtex]

@InProceedings{Zanette2020a,
author = {Andrea Zanette and Alessandro Lazaric and Mykel J. Kochenderfer and Emma Brunskill},
booktitle = neurips,
title = {Provably efficient reward-agnostic navigation with linear value iteration},
year = {2020},
url = {https://arxiv.org/abs/2008.07737},
}

R. E. Allen, J. W. Bear, J. K. Gupta, and M. J. Kochenderfer, “Health-informed policy gradients for multi-agent reinforcement learning,” ArXiv, 2020.
[Bibtex]

@Article{Allen2020,
author = {Ross E. Allen and Javona White Bear and Jayesh K. Gupta and Mykel J. Kochenderfer},
journal = arxiv,
title = {Health-informed policy gradients for multi-agent reinforcement learning},
year = {2020},
url = {https://arxiv.org/abs/1908.01022},
}

X. Ma, J. K. Gupta, and M. J. Kochenderfer, “Normalizing flow policies for multi-agent systems,” in Conference on Decision and Game Theory for Security (GameSec), 2020.
[Bibtex]

@InProceedings{Ma2020,
author = {Xiaobai Ma and Jayesh K. Gupta and Mykel J. Kochenderfer},
booktitle = {Conference on Decision and Game Theory for Security (GameSec)},
title = {Normalizing flow policies for multi-agent systems},
year = {2020},
doi = {10.1007/978-3-030-64793-3_15},
url = {https://www.gamesec-conf.org/GameSec_Proceeding_2020/Paper 2.2.pdf},
}

A. Mukhopadhyay, K. Wang, A. Perrault, M. J. Kochenderfer, M. Tambe, and Y. Vorobeychik, “Robust spatial-temporal incident prediction,” in Conference on Uncertainty in Artificial Intelligence (UAI), 2020.
[Bibtex]

@InProceedings{Mukhopadhyay2020,
author = {Ayan Mukhopadhyay and Kai Wang and Andrew Perrault and Mykel J. Kochenderfer and Milind Tambe and Yevgeniy Vorobeychik},
booktitle = uai,
title = {Robust spatial-temporal incident prediction},
year = {2020},
url = {http://proceedings.mlr.press/v124/mukhopadhyay20a/mukhopadhyay20a.pdf},
}

A. Mukhopadhyay, G. Pettet, M. J. Kochenderfer, and A. Dubey, “Designing emergency response pipelines: Lessons and challenges,” in AAAI Fall Symposium, 2020.
[Bibtex]

@InProceedings{Mukhopadhyay2020fss,
author = {Ayan Mukhopadhyay and Geoffrey Pettet and Mykel J. Kochenderfer and Abhishek Dubey},
booktitle = {AAAI Fall Symposium},
title = {Designing emergency response pipelines: Lessons and challenges},
year = {2020},
url = {https://arxiv.org/pdf/2010.07504.pdf},
}

T. Diao, S. Singla, A. Mukhopadhyay, A. Eldawy, R. Shachter, and M. J. Kochenderfer, “Uncertainty aware wildfire management,” in AIAA Fall Symposium, 2020.
[Bibtex]

@InProceedings{Diao2020,
author = {Tina Diao and Samriddhi Singla and Ayan Mukhopadhyay and Ahmed Eldawy and Ross Shachter and Mykel J. Kochenderfer},
booktitle = {AIAA Fall Symposium},
title = {Uncertainty aware wildfire management},
year = {2020},
url = {https://arxiv.org/pdf/2010.07915.pdf},
}

E. Balaban, “Health-aware decision making under uncertainty for complex systems,” PhD Thesis, 2020.
[Bibtex]

@PhdThesis{Balaban2020phd,
author = {Edward Balaban},
school = {Stanford University},
title = {Health-aware decision making under uncertainty for complex systems},
year = {2020},
url = {https://stacks.stanford.edu/file/druid:mz480yb6491/dissertation_EdwardBalaban-augmented.pdf},
}

M. Bouton, “Safe and scalable planning under uncertainty for autonomous driving,” PhD Thesis, 2020.
[Bibtex]

@PhdThesis{Bouton2020phd,
author = {Maxime Bouton},
school = {Stanford University},
title = {Safe and scalable planning under uncertainty for autonomous driving},
year = {2020},
url = {http://purl.stanford.edu/dy440kv7606},
}

J. K. Gupta, “Modularity and coordination for planning and reinforcement learning,” PhD Thesis, 2020.
[Bibtex]

@PhdThesis{Gupta2020phd,
author = {Jayesh K. Gupta},
school = {Stanford University},
title = {Modularity and coordination for planning and reinforcement learning},
year = {2020},
url = {http://purl.stanford.edu/qz140zy4633},
}

T. T. Johnson, D. M. Lopez, P. Musau, H. Tran, E. Botoeva, F. Leofante, A. Maleki, C. R. Sidrane, J. Fan, and C. Huang, “ARCH-COMP20 category report: Artificial intelligence and neural network control systems (AINNCS) for continuous and hybrid systems plants,” in International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH), 2020.
[Bibtex]

@InProceedings{Johnson2020,
author = {Taylor T. Johnson and Diego Manzanas Lopez and Patrick Musau and Hoang-Dung Tran and Elena Botoeva and Francesco Leofante and Amir Maleki and Chelsea R. Sidrane and Jiameng Fan and Chao Huang},
booktitle = {International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH)},
title = {{ARCH-COMP20} category report: {A}rtificial intelligence and neural network control systems ({AINNCS}) for continuous and hybrid systems plants},
year = {2020},
doi = {10.29007/9xgv},
}

K. D. Julian, “Safe and efficient aircraft guidance and control using neural networks,” PhD Thesis, 2020.
[Bibtex]

@PhdThesis{Julian2020phd,
author = {Kyle D. Julian},
school = {Stanford University},
title = {Safe and efficient aircraft guidance and control using neural networks},
year = {2020},
url = {http://purl.stanford.edu/tr210hw4978},
}

2019

S. T. Barratt, M. J. Kochenderfer, and S. P. Boyd, “Learning probabilistic trajectory models of aircraft in terminal airspace from position data,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, iss. 9, p. 3536–3545, 2019.
[Bibtex]

@Article{Barratt2019,
author = {Shane T. Barratt and Mykel J. Kochenderfer and Stephen P. Boyd},
journal = ieeetits,
title = {Learning probabilistic trajectory models of aircraft in terminal airspace from position data},
year = {2019},
number = {9},
pages = {3536--3545},
volume = {20},
doi = {10.1109/TITS.2018.2877572},
url = {https://arxiv.org/abs/1810.09568},
}

K. T. Carlberg, A. Jameson, M. J. Kochenderfer, J. Morton, L. Peng, and F. D. Witherden, “Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning,” Journal of Computational Physics, vol. 395, p. 105–124, 2019.
[Bibtex]

@Article{Carlberg2019,
author = {Kevin T. Carlberg and Antony Jameson and Mykel J. Kochenderfer and Jeremy Morton and Liqian Peng and Freddie D. Witherden},
journal = {Journal of Computational Physics},
title = {Recovering missing {CFD} data for high-order discretizations using deep neural networks and dynamics learning},
year = {2019},
pages = {105--124},
volume = {395},
doi = {10.1016/j.jcp.2019.05.041},
url = {https://arxiv.org/abs/1812.01177},
}

L. Dressel and M. J. Kochenderfer, “Tutorial on the generation of ergodic trajectories with projection-based gradient descent,” IET Cyber-Physical Systems: Theory and Applications, vol. 4, iss. 2, p. 89–100, 2019.
[Bibtex]

@Article{Dressel2019tutorial,
author = {Louis Dressel and Mykel J. Kochenderfer},
journal = ietcps,
title = {Tutorial on the generation of ergodic trajectories with projection-based gradient descent},
year = {2019},
number = {2},
pages = {89--100},
volume = {4},
doi = {10.1049/iet-cps.2018.5032},
}

K. D. Julian, M. J. Kochenderfer, and M. P. Owen, “Deep neural network compression for aircraft collision avoidance systems,” Journal of Guidance, Control, and Dynamics, vol. 42, iss. 3, p. 598–608, 2019.
[Bibtex]

@Article{Julian2019jgcd,
author = {Kyle D. Julian and Mykel J. Kochenderfer and Michael P. Owen},
journal = jgcd,
title = {Deep neural network compression for aircraft collision avoidance systems},
year = {2019},
number = {3},
pages = {598--608},
volume = {42},
doi = {10.2514/1.G003724},
url = {https://arxiv.org/abs/1810.04240},
}

M. J. Kochenderfer and T. A. Wheeler, Algorithms for Optimization, MIT Press, 2019.
[Bibtex]

@Book{Kochenderfer2019,
author = {Mykel J. Kochenderfer and Tim A. Wheeler},
publisher = {MIT Press},
title = {Algorithms for Optimization},
year = {2019},
url = {https://algorithmsbook.com/optimization/files/optimization.pdf},
}

R. Lee, O. J. Mengshoel, A. Agogino, D. Giannakoupoulou, and M. J. Kochenderfer, “Adaptive stress testing of trajectory planning systems,” in AIAA Science and Technology Forum (SciTech), 2019.
[Bibtex]

@InProceedings{Lee2019,
author = {Ritchie Lee and Ole J. Mengshoel and Adrian Agogino and Dimitra Giannakoupoulou and Mykel J. Kochenderfer},
booktitle = scitech,
title = {Adaptive stress testing of trajectory planning systems},
year = {2019},
doi = {10.2514/6.2019-1454},
}

K. Menda, Y. Chen, J. Grana, J. W. Bono, B. D. Tracey, M. J. Kochenderfer, and D. H. Wolpert, “Deep reinforcement learning for event-driven multi-agent decision processes,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, iss. 4, p. 1259–1268, 2019.
[Bibtex]

@Article{Menda2019,
author = {Kunal Menda and Yi-Chun Chen and Justin Grana and James W. Bono and Brendan D. Tracey and Mykel J. Kochenderfer and David H. Wolpert},
journal = ieeetits,
title = {Deep reinforcement learning for event-driven multi-agent decision processes},
year = {2019},
number = {4},
pages = {1259--1268},
volume = {20},
doi = {10.1109/TITS.2018.2848264},
url = {https://arxiv.org/abs/1709.06656},
}

K. Menda, K. R. Driggs-Campbell, and M. J. Kochenderfer, “EnsembleDAgger: a Bayesian approach to safe imitation learning,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
[Bibtex]

@InProceedings{Menda2019ensemble,
author = {Kunal Menda and Katherine R. Driggs-Campbell and Mykel J. Kochenderfer},
booktitle = iros,
title = {Ensemble{DA}gger: a {B}ayesian approach to safe imitation learning},
year = {2019},
doi = {10.1109/IROS40897.2019.8968287},
url = {https://arxiv.org/abs/1807.08364},
}

J. Mern, K. D. Julian, R. E. Tompa, and M. J. Kochenderfer, “Visual depth mapping from monocular images using recurrent convolutional neural networks,” in AIAA Science and Technology Forum (SciTech), 2019.
[Bibtex]

@InProceedings{Mern2019,
author = {John Mern and Kyle D. Julian and Rachael E. Tompa and Mykel J. Kochenderfer},
booktitle = scitech,
title = {Visual depth mapping from monocular images using recurrent convolutional neural networks},
year = {2019},
doi = {10.2514/6.2019-1189},
url = {https://arxiv.org/abs/1812.04082},
}

P. Slade, Z. N. Sunberg, and M. J. Kochenderfer, “Estimation and control using sampling-based Bayesian reinforcement learning,” IET Cyber-Physical Systems: Theory & Applications, vol. 5, iss. 1, p. 127–135, 2019.
[Bibtex]

@Article{Slade2019,
author = {Patrick Slade and Zachary N. Sunberg and Mykel J. Kochenderfer},
journal = {IET Cyber-Physical Systems: Theory \& Applications},
title = {Estimation and control using sampling-based {B}ayesian reinforcement learning},
year = {2019},
number = {1},
pages = {127--135},
volume = {5},
doi = {10.1049/iet-cps.2019.0045},
url = {https://arxiv.org/abs/1808.00888},
}

P. Slade, R. Troutman, M. J. Kochenderfer, S. H. Collins, and S. L. Delp, “Rapid energy expenditure estimation for assisted and inclined loaded walking,” Journal of NeuroEngineering and Rehabilitation, vol. 16, iss. 67, p. 1–10, 2019.
[Bibtex]

@Article{Slade2019energy,
author = {Patrick Slade and Rachel Troutman and Mykel J. Kochenderfer and Steven H. Collins and Scott L. Delp},
journal = {Journal of NeuroEngineering and Rehabilitation},
title = {Rapid energy expenditure estimation for assisted and inclined loaded walking},
year = {2019},
number = {67},
pages = {1--10},
volume = {16},
doi = {10.1186/s12984-019-0535-7},
}

M. Kelly, C. R. Sidrane, K. R. Driggs-Campbell, and M. J. Kochenderfer, “HG-DAgger: interactive imitation learning with human experts,” in IEEE International Conference on Robotics and Automation (ICRA), 2019.
[Bibtex]

@InProceedings{Kelly2019,
author = {Michael Kelly and Chelsea R. Sidrane and Katherine R. Driggs-Campbell and Mykel J. Kochenderfer},
booktitle = icra,
title = {{HG-DAgger}: interactive imitation learning with human experts},
year = {2019},
doi = {10.1109/ICRA.2019.8793698},
url = {https://arxiv.org/abs/1810.02890},
}

R. Bhattacharyya, D. J. Phillips, C. Liu, J. K. Gupta, K. R. Driggs-Campbell, and M. J. Kochenderfer, “Simulating emergent properties of human driving behavior using multi-agent reward augmented imitation learning,” in IEEE International Conference on Robotics and Automation (ICRA), 2019.
[Bibtex]

@InProceedings{Bhattacharyya2019,
author = {Raunak Bhattacharyya and Derek J. Phillips and Changliu Liu and Jayesh K. Gupta and Katherine R. Driggs-Campbell and Mykel J. Kochenderfer},
booktitle = icra,
title = {Simulating emergent properties of human driving behavior using multi-agent reward augmented imitation learning},
year = {2019},
doi = {10.1109/ICRA.2019.8793750},
url = {https://arxiv.org/abs/1903.05766},
}

L. Dressel and M. J. Kochenderfer, “Hunting drones with other drones: Tracking a moving radio target,” in IEEE International Conference on Robotics and Automation (ICRA), 2019.
[Bibtex]

@InProceedings{Dressel2019,
author = {Louis Dressel and Mykel J. Kochenderfer},
booktitle = icra,
title = {Hunting drones with other drones: {T}racking a moving radio target},
year = {2019},
doi = {10.1109/ICRA.2019.8794243},
}

B. Wu, J. K. Gupta, and M. J. Kochenderfer, “Model primitive hierarchical lifelong reinforcement learning,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019.
[Bibtex]

@InProceedings{Wu2019,
author = {Bohan Wu and Jayesh K. Gupta and Mykel J. Kochenderfer},
booktitle = aamas,
title = {Model primitive hierarchical lifelong reinforcement learning},
year = {2019},
url = {https://arxiv.org/abs/1903.01567},
}

J. Mern, D. Sadigh, and M. J. Kochenderfer, “Object exchangability in reinforcement learning,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019.
[Bibtex]

@InProceedings{Mern2019aamas,
author = {John Mern and Dorsa Sadigh and Mykel J. Kochenderfer},
booktitle = aamas,
title = {Object exchangability in reinforcement learning},
year = {2019},
url = {https://arxiv.org/abs/1905.02698},
}

R. Lee, O. J. Mengshoel, and M. J. Kochenderfer, “Adaptive stress testing of safety-critical systems,” in Safe, Autonomous and Intelligent Vehicles, H. Yu, X. Li, R. Murray, S. Ramesh, and C. J. Tomlin, Eds., Springer, 2019.
[Bibtex]

@InCollection{Lee2019saiv,
author = {Ritchie Lee and Ole J. Mengshoel and Mykel J. Kochenderfer},
booktitle = {Safe, Autonomous and Intelligent Vehicles},
publisher = {Springer},
title = {Adaptive stress testing of safety-critical systems},
year = {2019},
editor = {Huafeng Yu and Xin Li and Richard Murray and S. Ramesh and Claire J. Tomlin},
doi = {10.1007/978-3-319-97301-2_5},
}

K. D. Julian and M. J. Kochenderfer, “Distributed wildfire surveillance with autonomous aircraft using deep reinforcement learning,” Journal of Guidance, Control, and Dynamics, vol. 42, iss. 8, p. 1768–1778, 2019.
[Bibtex]

@Article{Julian2019jgcdfire,
author = {Kyle D. Julian and Mykel J. Kochenderfer},
journal = jgcd,
title = {Distributed wildfire surveillance with autonomous aircraft using deep reinforcement learning},
year = {2019},
number = {8},
pages = {1768--1778},
volume = {42},
doi = {10.2514/1.G004106},
url = {https://arxiv.org/abs/1810.04244},
}

J. K. Gupta, K. Menda, Z. Manchester, and M. J. Kochenderfer, “A general framework for structured learning of mechanical systems,” ArXiv, iss. 1902.08705, 2019.
[Bibtex]

@Article{Gupta2019mech,
author = {Jayesh K. Gupta and Kunal Menda and Zachary Manchester and Mykel J. Kochenderfer},
journal = arxiv,
title = {A general framework for structured learning of mechanical systems},
year = {2019},
number = {1902.08705},
url = {https://arxiv.org/abs/1902.08705},
}

D. J. Phillips, J. C. Aragon, A. Roychowdhury, R. Madigan, S. Chintakindi, and M. J. Kochenderfer, “Real-time prediction of automotive collision risk from monocular video,” ArXiv, iss. 1902.01293, 2019.
[Bibtex]

@Article{Phillips2019iv,
author = {Derek J. Phillips and Juan Carlos Aragon and Anjali Roychowdhury and Regina Madigan and Sunil Chintakindi and Mykel J. Kochenderfer},
journal = arxiv,
title = {Real-time prediction of automotive collision risk from monocular video},
year = {2019},
number = {1902.01293},
url = {https://arxiv.org/abs/1902.01293},
}

K. D. Julian, S. Sharma, J. Jeannin, and M. J. Kochenderfer, “Verifying aircraft collision avoidance neural networks through linear approximations of safe regions,” in AAAI Spring Symposium, 2019.
[Bibtex]

@InProceedings{Julian2019vnn,
author = {Kyle D. Julian and Shivam Sharma and Jean-Baptiste Jeannin and Mykel J. Kochenderfer},
booktitle = {AAAI Spring Symposium},
title = {Verifying aircraft collision avoidance neural networks through linear approximations of safe regions},
year = {2019},
url = {https://arxiv.org/abs/1903.00762},
}

K. D. Julian and M. J. Kochenderfer, “A reachability method for verifying dynamical systems with deep neural network controllers,” ArXiv, iss. 1903.00520, 2019.
[Bibtex]

@Article{Julian2019reach,
author = {Kyle D. Julian and Mykel J. Kochenderfer},
journal = arxiv,
title = {A reachability method for verifying dynamical systems with deep neural network controllers},
year = {2019},
number = {1903.00520},
url = {https://arxiv.org/abs/1903.00520},
}

R. E. Tompa and M. J. Kochenderfer, “Efficient aircraft rerouting during commercial space launches,” New Space, vol. 7, iss. 1, p. 12–18, 2019.
[Bibtex]

@Article{Tompa2019,
author = {Rachael E. Tompa and Mykel J. Kochenderfer},
journal = {New Space},
title = {Efficient aircraft rerouting during commercial space launches},
year = {2019},
number = {1},
pages = {12--18},
volume = {7},
doi = {10.1089/space.2018.0032},
}

K. D. Julian and M. J. Kochenderfer, “Guaranteeing safety for neural network-based aircraft collision avoidance systems,” in Digital Avionics Systems Conference (DASC), 2019.
[Bibtex]

@InProceedings{Julian2019dasc,
author = {Kyle D. Julian and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Guaranteeing safety for neural network-based aircraft collision avoidance systems},
year = {2019},
doi = {10.1109/DASC43569.2019.9081748},
url = {https://arxiv.org/abs/1912.07084},
}

S. Jung and M. J. Kochenderfer, “Learning terminal airspace traffic models from flight tracks and procedures,” in Digital Avionics Systems Conference (DASC), 2019.
[Bibtex]

@InProceedings{Jung2019,
author = {Soyeon Jung and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Learning terminal airspace traffic models from flight tracks and procedures},
year = {2019},
doi = {10.1109/DASC43569.2019.9081630},
}

R. E. Tompa and M. J. Kochenderfer, “Optimal aircraft metering during space launches,” in Digital Avionics Systems Conference (DASC), 2019.
[Bibtex]

@InProceedings{Tompa2019dasc,
author = {Rachael E. Tompa and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Optimal aircraft metering during space launches},
year = {2019},
doi = {10.1109/DASC43569.2019.9081800},
}

S. M. Katz, A. LeBihan, and M. J. Kochenderfer, “Learning an urban air mobility encounter model from expert preferences,” in Digital Avionics Systems Conference (DASC), 2019.
[Bibtex]

@InProceedings{Katz2019,
author = {Sydney M. Katz and Anne-Claire LeBihan and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Learning an urban air mobility encounter model from expert preferences},
year = {2019},
doi = {10.1109/DASC43569.2019.9081648},
url = {https://arxiv.org/abs/1907.05575},
}

T. A. Wheeler and M. J. Kochenderfer, “Critical factor graph situation clusters for accelerated automotive safety validation,” in IEEE Intelligent Vehicles Symposium (IV), 2019.
[Bibtex]

@InProceedings{Wheeler2019,
author = {Tim A. Wheeler and Mykel J. Kochenderfer},
booktitle = iv,
title = {Critical factor graph situation clusters for accelerated automotive safety validation},
year = {2019},
doi = {10.1109/IVS.2019.8813845},
}

S. Choudhury and M. J. Kochenderfer, “Dynamic real-time multimodal routing with hierarchical hybrid planning,” in IEEE Intelligent Vehicles Symposium (IV), 2019.
[Bibtex]

@InProceedings{Choudhury2019iv,
author = {Shushman Choudhury and Mykel J. Kochenderfer},
booktitle = iv,
title = {Dynamic real-time multimodal routing with hierarchical hybrid planning},
year = {2019},
doi = {10.1109/IVS.2019.8814018},
url = {https://arxiv.org/abs/1902.01560},
}

M. Schratter, M. Bouton, M. J. Kochenderfer, and D. Watzenig, “Pedestrian collision avoidance system for scenarios with occlusions,” in IEEE Intelligent Vehicles Symposium (IV), 2019.
[Bibtex]

@InProceedings{Schratter2019,
author = {Markus Schratter and Maxime Bouton and Mykel J. Kochenderfer and Daniel Watzenig},
booktitle = iv,
title = {Pedestrian collision avoidance system for scenarios with occlusions},
year = {2019},
doi = {10.1109/IVS.2019.8814076},
}

M. Bouton, A. Nakhaei, K. Fujimura, and M. J. Kochenderfer, “Safe reinforcement learning with scene decomposition for navigating complex urban environments,” in IEEE Intelligent Vehicles Symposium (IV), 2019.
[Bibtex]

@InProceedings{Bouton2019iv,
author = {Maxime Bouton and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},
booktitle = iv,
title = {Safe reinforcement learning with scene decomposition for navigating complex urban environments},
year = {2019},
doi = {10.1109/IVS.2019.8813803},
}

S. Li, M. Egorov, and M. J. Kochenderfer, “Optimizing collision avoidance in dense airspace using deep reinforcement learning,” in Air Traffic Management Research and Development Seminar, 2019.
[Bibtex]

@InProceedings{Li2019,
author = {Sheng Li and Maxim Egorov and Mykel J. Kochenderfer},
booktitle = atm,
title = {Optimizing collision avoidance in dense airspace using deep reinforcement learning},
year = {2019},
url = {https://drive.google.com/file/d/1dPn99-3znxy6KiWbvKIkA0tBqHHbM8S4/view?usp=sharing},
}

M. Bouton, K. D. Julian, A. Nakhaei, K. Fujimura, and M. J. Kochenderfer, “Decomposition methods with deep corrections for reinforcement learning,” Autonomous Agents and Multi-Agent Systems, vol. 33, iss. 3, p. 330–352, 2019.
[Bibtex]

@Article{Bouton2019,
author = {Maxime Bouton and Kyle D. Julian and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},
journal = {Autonomous Agents and Multi-Agent Systems},
title = {Decomposition methods with deep corrections for reinforcement learning},
year = {2019},
number = {3},
pages = {330--352},
volume = {33},
doi = {10.1007/s10458-019-09407-z},
url = {https://arxiv.org/abs/1802.01772},
}

E. Balaban, S. B. Johnson, and M. J. Kochenderfer, “Unifying system health management and automated decision making,” Journal of Artificial Intelligence Research, vol. 65, p. 487–518, 2019.
[Bibtex]

@Article{Balaban2019jair,
author = {Edward Balaban and Stephen B. Johnson and Mykel J. Kochenderfer},
journal = jair,
title = {Unifying system health management and automated decision making},
year = {2019},
pages = {487--518},
volume = {65},
doi = {10.1613/jair.1.11366},
}

J. Morton, F. D. Witherden, and M. J. Kochenderfer, “Deep variational Koopman models: Inferring Koopman observations for uncertainty-aware dynamics modeling and control,” in International Joint Conference on Artificial Intelligence (IJCAI), 2019.
[Bibtex]

@InProceedings{Morton2019ijcai,
author = {Jeremy Morton and Freddie D. Witherden and Mykel J. Kochenderfer},
booktitle = ijcai,
title = {Deep variational {K}oopman models: {I}nferring {K}oopman observations for uncertainty-aware dynamics modeling and control},
year = {2019},
url = {https://arxiv.org/abs/1902.09742},
}

X. Ma, K. Driggs-Campbell, Z. Zhang, and M. J. Kochenderfer, “Monte Carlo tree search for policy optimization,” in International Joint Conference on Artificial Intelligence (IJCAI), 2019.
[Bibtex]

@InProceedings{Ma2019ijcai,
author = {Xiaobai Ma and Katherine Driggs-Campbell and Zongzhang Zhang and Mykel J. Kochenderfer},
booktitle = ijcai,
title = {Monte {C}arlo tree search for policy optimization},
year = {2019},
url = {https://www.ijcai.org/proceedings/2019/0432.pdf},
}

G. Katz, D. A. Huang, D. Ibeling, K. Julian, C. Lazarus, R. Lim, P. Shah, S. Thakoor, H. Wu, A. Zeljic, D. L. Dill, M. J. Kochenderfer, and C. Barrett, “The Marabou framework for verification and analysis of deep neural networks,” in International Conference on Computer-Aided Verification (CAV), 2019.
[Bibtex]

@InProceedings{Katz2019cav,
author = {Guy Katz and Derek A. Huang and Duligur Ibeling and Kyle Julian and Christopher Lazarus and Rachel Lim and Parth Shah and Shantanu Thakoor and Haoze Wu and Aleksandar Zeljic and David L. Dill and Mykel J. Kochenderfer and Clark Barrett},
booktitle = cav,
title = {The {M}arabou framework for verification and analysis of deep neural networks},
year = {2019},
doi = {10.1007/978-3-030-25540-4_26},
}

K. Menda, J. K. Gupta, Z. Manchester, and M. J. Kochenderfer, “Structured mechanical models for efficient reinforcement learning,” in Workshop on Structure and Priors in Reinforcement Learning, International Conference on Learning Representations (ICLR), 2019.
[Bibtex]

@InProceedings{Menda2019iclr,
author = {Kunal Menda and Jayesh K. Gupta and Zachary Manchester and Mykel J. Kochenderfer},
booktitle = {Workshop on Structure and Priors in Reinforcement Learning, } # iclr,
title = {Structured mechanical models for efficient reinforcement learning},
year = {2019},
url = {https://eringrant.github.io/spirl/2019/camera-ready/spirl_camera-ready_23.pdf},
}

C. Liu, T. Arnon, C. Lazarus, and M. J. Kochenderfer, “NeuralVerification.jl: Algorithms for verifying deep neural networks,” in Workshop on Debugging Machine Learning, International Conference on Learning Representations (ICLR), 2019.
[Bibtex]

@InProceedings{Liu2019iclr,
author = {Changliu Liu and Tomer Arnon and Christopher Lazarus and Mykel J. Kochenderfer},
booktitle = {Workshop on Debugging Machine Learning, } # iclr,
title = {{N}eural{V}erification.jl: {A}lgorithms for verifying deep neural networks},
year = {2019},
url = {https://debug-ml-iclr2019.github.io/cameraready/DebugML-19_paper_22.pdf},
}

C. R. Sidrane and M. J. Kochenderfer, “OVERT: Verification of nonlinear dynamical systems with neural network controllers via overapproximation,” in Workshop on Safe Machine Learning, International Conference on Learning Representations (ICLR), 2019.
[Bibtex]

@InProceedings{Sidrane2019iclr,
author = {Chelsea R. Sidrane and Mykel J. Kochenderfer},
booktitle = {Workshop on Safe Machine Learning, } # iclr,
title = {{OVERT}: {V}erification of nonlinear dynamical systems with neural network controllers via overapproximation},
year = {2019},
url = {https://drive.google.com/uc?export=download&id=17dj7HXXzjGymoh1VUm4sfb7ynQ_R0Xem},
}

S. M. Thornton, B. Limonchik, F. E. Lewis, M. J. Kochenderfer, and C. J. Gerdes, “Towards closing the loop on human values,” IEEE Transactions on Intelligent Vehicles, vol. 4, iss. 3, p. 437–446, 2019.
[Bibtex]

@Article{Thornton2019,
author = {Sarah M. Thornton and Benjamin Limonchik and Francis Eugene Lewis and Mykel J. Kochenderfer and J. Christian Gerdes},
journal = ieeetiv,
title = {Towards closing the loop on human values},
year = {2019},
number = {3},
pages = {437--446},
volume = {4},
doi = {10.1109/TIV.2019.2919471},
}

M. Bouton, A. Nakhaei, K. Fujimura, and M. J. Kochenderfer, “Cooperation-aware reinforcement learning for merging in dense traffic,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2019.
[Bibtex]

@InProceedings{Bouton2019itsc,
author = {Maxime Bouton and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Cooperation-aware reinforcement learning for merging in dense traffic},
year = {2019},
doi = {10.1109/ITSC.2019.8916924},
url = {https://arxiv.org/abs/1906.11021},
}

A. Corso, P. Du, K. Driggs-Campbell, and M. J. Kochenderfer, “Adaptive stress testing with reward augmentation for autonomous vehicle validation,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2019.
[Bibtex]

@InProceedings{Corso2019itsc,
author = {Anthony Corso and Peter Du and Katherine Driggs-Campbell and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Adaptive stress testing with reward augmentation for autonomous vehicle validation},
year = {2019},
doi = {10.1109/ITSC.2019.8917242},
url = {https://arxiv.org/abs/1908.01046},
}

M. Itkina, K. Driggs-Campbell, and M. J. Kochenderfer, “Dynamic environment prediction in urban scenes using recurrent representation learning,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2019.
[Bibtex]

@InProceedings{Itkina2019itsc,
author = {Mikhal Itkina and Katherine Driggs-Campbell and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Dynamic environment prediction in urban scenes using recurrent representation learning},
year = {2019},
doi = {10.1109/ITSC.2019.8917271},
url = {https://arxiv.org/abs/1904.12374},
}

M. Koren and M. J. Kochenderfer, “Efficient autonomy validation in simulation with adaptive stress testing,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2019.
[Bibtex]

@InProceedings{Koren2019itsc,
author = {Mark Koren and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Efficient autonomy validation in simulation with adaptive stress testing},
year = {2019},
doi = {10.1109/ITSC.2019.8917403},
}

S. Choudhury and M. J. Kochenderfer, “Hybrid planning for dynamic multimodal stochastic shortest paths,” ArXiv, iss. 1906.09094, 2019.
[Bibtex]

@Article{Choudhury2019,
author = {Shushman Choudhury and Mykel J. Kochenderfer},
journal = arxiv,
title = {Hybrid planning for dynamic multimodal stochastic shortest paths},
year = {2019},
number = {1906.09094},
url = {https://arxiv.org/abs/1906.09094},
}

A. L. Jamgochian and M. J. Kochenderfer, “Stochastic model predictive control for scheduling charging of electric vehicle fleets with market power,” in IEEE International Conference on Connected Vehicles and Expo (ICCVE), 2019.
[Bibtex]

@InProceedings{Jamgochian2019,
author = {Arec L. Jamgochian and Mykel J. Kochenderfer},
booktitle = {IEEE International Conference on Connected Vehicles and Expo (ICCVE)},
title = {Stochastic model predictive control for scheduling charging of electric vehicle fleets with market power},
year = {2019},
doi = {10.1109/ICCVE45908.2019.8965237},
}

O. Peltzer, K. Brown, M. Schwager, and M. J. Kochenderfer, “STT-CBS: A conflict-based search algorithm for multi-agent path finding with stochastic travel times,” in Workshop on Multi-Agent Path Finding, International Joint Conference on Artificial Intelligence (IJCAI), 2019.
[Bibtex]

@InProceedings{Peltzer2019,
author = {Oriana Peltzer and Kyle Brown and Mac Schwager and Mykel J. Kochenderfer},
booktitle = {Workshop on Multi-Agent Path Finding, } # ijcai,
title = {{STT}-{CBS}: {A} conflict-based search algorithm for multi-agent path finding with stochastic travel times},
year = {2019},
url = {https://arxiv.org/abs/2004.08025},
}

A. Zanette, A. Lazaric, M. J. Kochenderfer, and E. Brunskill, “Limiting extrapolation in linear approximate value iteration,” in Advances in Neural Information Processing Systems (NeurIPS), 2019.
[Bibtex]

@InProceedings{Zanette2019extrap,
author = {Andrea Zanette and Alessandro Lazaric and Mykel J. Kochenderfer and Emma Brunskill},
booktitle = neurips,
title = {Limiting extrapolation in linear approximate value iteration},
year = {2019},
url = {https://papers.nips.cc/paper/8799-limiting-extrapolation-in-linear-approximate-value-iteration.pdf},
}

A. Zanette, M. J. Kochenderfer, and E. Brunskill, “Almost horizon-free structure-aware best policy identification with a generative model,” in Advances in Neural Information Processing Systems (NeurIPS), 2019.
[Bibtex]

@InProceedings{Zanette2019policy,
author = {Andrea Zanette and Mykel J. Kochenderfer and Emma Brunskill},
booktitle = neurips,
title = {Almost horizon-free structure-aware best policy identification with a generative model},
year = {2019},
url = {https://papers.nips.cc/paper/8800-almost-horizon-free-structure-aware-best-policy-identification-with-a-generative-model.pdf},
}

J. Boussard, M. J. Kochenderfer, and J. M. Zeitzer, “Predicting subjective sleep quality using recurrent neural networks,” in IEEE Signal Processing in Medicine and Biology Symposium, 2019.
[Bibtex]

@InProceedings{Boussard2019,
author = {Julien Boussard and Mykel J. Kochenderfer and Jamie M. Zeitzer},
booktitle = {IEEE Signal Processing in Medicine and Biology Symposium},
title = {Predicting subjective sleep quality using recurrent neural networks},
year = {2019},
doi = {10.1109/SPMB47826.2019.9037854},
}

R. Senanayake, M. Toyungyernsub, M. Wang, M. J. Kochenderfer, and M. Schwager, “Directional primitives for uncertainty-aware motion prediction in urban environments,” in Workshop on Scene and Situation Understanding for Autonomous Driving, Robotics: Science and Systems, 2019.
[Bibtex]

@InProceedings{Senanayake2019rssworkshop,
author = {Ransalu Senanayake and Maneekwan Toyungyernsub and Mingyu Wang and Mykel J. Kochenderfer and Mac Schwager},
booktitle = {Workshop on Scene and Situation Understanding for Autonomous Driving, } # RSS,
title = {Directional primitives for uncertainty-aware motion prediction in urban environments},
year = {2019},
url = {https://arxiv.org/abs/2007.00161},
}

M. Itkina, B. Ivanovic, R. Senanayake, M. J. Kochenderfer, and M. Pavone, “Evidential disambiguation of latent multimodality in conditional variational autoencoders,” in Workshop on Bayesian Deep Learning, Advances in Neural Information Processing Systems (NeurIPS), 2019.
[Bibtex]

@InProceedings{Itkina2019bdl,
author = {Masha Itkina and Boris Ivanovic and Ransalu Senanayake and Mykel J. Kochenderfer and Marco Pavone},
booktitle = {Workshop on Bayesian Deep Learning, } # neurips,
title = {Evidential disambiguation of latent multimodality in conditional variational autoencoders},
year = {2019},
url = {http://bayesiandeeplearning.org/2019/papers/34.pdf},
}

M. Koren, A. Corso, and M. J. Kochenderfer, “The adaptive stress testing formulation,” in Workshop on Safe Autonomy, Robotics: Science and Systems, 2019.
[Bibtex]

@InProceedings{Koren2019rss,
author = {Mark Koren and Anthony Corso and Mykel J. Kochenderfer},
booktitle = {Workshop on Safe Autonomy, } # rss,
title = {The adaptive stress testing formulation},
year = {2019},
url = {https://arxiv.org/abs/1811.02188},
}

J. Morton, “Deep data-driven modeling and control of high-dimensional nonlinear systems,” PhD Thesis, 2019.
[Bibtex]

@PhdThesis{Morton2019phd,
author = {Jeremy Morton},
school = {Stanford University},
title = {Deep data-driven modeling and control of high-dimensional nonlinear systems},
year = {2019},
url = {https://stacks.stanford.edu/file/druid:gw014fm7129/thesis_morton-augmented.pdf},
}

2018

O. Afolabi, K. R. Driggs-Campbell, R. Dong, M. J. Kochenderfer, and S. Sastry, “People as sensors: Imputing maps from human actions,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.
[Bibtex]

@InProceedings{Afolabi2018,
author = {Oladapo Afolabi and Katherine R. Driggs-Campbell and Roy Dong and Mykel J. Kochenderfer and Shankar Sastry},
booktitle = iros,
title = {People as sensors: {I}mputing maps from human actions},
year = {2018},
doi = {10.1109/IROS.2018.8594511},
url = {https://arxiv.org/abs/1711.01022},
}

E. Balaban, S. B. Johnson, and M. J. Kochenderfer, “Rethinking system health management,” in AAAI Fall Symposium on Integrating Planning, Diagnosis, and Causal Reasoning, 2018.
[Bibtex]

@InProceedings{Balaban2018,
author = {Edward Balaban and Stephen B. Johnson and Mykel J. Kochenderfer},
booktitle = {AAAI Fall Symposium on Integrating Planning, Diagnosis, and Causal Reasoning},
title = {Rethinking system health management},
year = {2018},
url = {https://arxiv.org/abs/1903.03948},
}

R. Bhattacharyya, D. J. Phillips, B. Wulfe, J. Morton, A. Kuefler, and M. J. Kochenderfer, “Multi-agent imitation learning for driving simulation,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.
[Bibtex]

@InProceedings{Bhattacharyya2018,
author = {Raunak Bhattacharyya and Derek J. Phillips and Blake Wulfe and Jeremy Morton and Alex Kuefler and Mykel J. Kochenderfer},
booktitle = iros,
title = {Multi-agent imitation learning for driving simulation},
year = {2018},
doi = {10.1109/IROS.2018.8593758},
url = {https://arxiv.org/abs/1803.01044},
}

M. Bouton, K. D. Julian, A. Nakhaei, K. Fujimura, and M. J. Kochenderfer, “Utility decomposition with deep corrections for scalable planning under uncertainty,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
[Bibtex]

@InProceedings{Bouton2018aamas,
author = {Maxime Bouton and Kyle D. Julian and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},
booktitle = aamas,
title = {Utility decomposition with deep corrections for scalable planning under uncertainty},
year = {2018},
doi = {10.5555/3237383.3237453},
url = {https://arxiv.org/abs/1802.01772},
}

M. Bouton, J. Karlsson, A. Nakhaei, K. Fujimura, M. J. Kochenderfer, and J. Tumova, “Reinforcement learning with probabilistic guarantees for autonomous driving,” in Workshop on Safety Risk and Uncertainty in Reinforcement Learning, Conference on Uncertainty in Artificial Intelligence (UAI), 2018.
[Bibtex]

@InProceedings{Bouton2018uai,
author = {Maxime Bouton and Jesper Karlsson and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer and Jana Tumova},
booktitle = {Workshop on Safety Risk and Uncertainty in Reinforcement Learning, } # uai,
title = {Reinforcement learning with probabilistic guarantees for autonomous driving},
year = {2018},
url = {https://drive.google.com/open?id=1d2tl4f6GQgH1SERveTmPAR42bMVwHZAZ},
}

M. Bouton, A. Nakhaei, K. Fujimura, and M. J. Kochenderfer, “Scalable decision making with sensor occlusions for autonomous driving,” in IEEE International Conference on Robotics and Automation (ICRA), 2018.
[Bibtex]

@InProceedings{Bouton2018,
author = {Maxime Bouton and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},
booktitle = icra,
title = {Scalable decision making with sensor occlusions for autonomous driving},
year = {2018},
doi = {10.1109/ICRA.2018.8460914},
}

Y. Chen, M. J. Kochenderfer, and M. T. J. Spaan, “Improving offline value-function approximations for POMDPs by reducing discount factors,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.
[Bibtex]

@InProceedings{Chen2018,
author = {Yi-Chun Chen and Mykel J. Kochenderfer and Matthijs T. J. Spaan},
booktitle = iros,
title = {Improving offline value-function approximations for {POMDP}s by reducing discount factors},
year = {2018},
doi = {10.1109/IROS.2018.8594418},
}

S. Choudhury, N. Gruver, and M. J. Kochenderfer, “Online stochastic planning for multimodal sensing and navigation under uncertainty,” in Workshop on Multi-Modal Perception and Control, Robotics: Science and Systems, 2018.
[Bibtex]

@InProceedings{Choudhury2018,
author = {Shushman Choudhury and Nate Gruver and Mykel J. Kochenderfer},
booktitle = {Workshop on Multi-Modal Perception and Control, } # rss,
title = {Online stochastic planning for multimodal sensing and navigation under uncertainty},
year = {2018},
url = {https://ngruver.github.io/data/ippmm_rss.pdf},
}

L. Dressel and M. J. Kochenderfer, “Efficient and low-cost localization of radio signals with a multirotor UAV,” in AIAA Guidance, Navigation, and Control Conference (GNC), 2018.
[Bibtex]

@InProceedings{Dressel2018,
author = {Louis Dressel and Mykel J. Kochenderfer},
booktitle = gnc,
title = {Efficient and low-cost localization of radio signals with a multirotor {UAV}},
year = {2018},
doi = {10.2514/6.2018-1845},
url = {https://arxiv.org/abs/1808.04438},
}

L. Dressel and M. J. Kochenderfer, “On the optimality of ergodic trajectories for information gathering tasks,” in American Control Conference (ACC), 2018.
[Bibtex]

@InProceedings{Dressel2018acc,
author = {Louis Dressel and Mykel J. Kochenderfer},
booktitle = acc,
title = {On the optimality of ergodic trajectories for information gathering tasks},
year = {2018},
doi = {10.23919/ACC.2018.8430857},
url = {https://arxiv.org/abs/1808.06652},
}

L. Dressel and M. J. Kochenderfer, “Using neural networks to generate information maps for mobile sensors,” in IEEE Conference on Decision and Control (CDC), 2018.
[Bibtex]

@InProceedings{Dressel2018cdc,
author = {Louis Dressel and Mykel J. Kochenderfer},
booktitle = cdc,
title = {Using neural networks to generate information maps for mobile sensors},
year = {2018},
doi = {10.1109/CDC.2018.8619820},
url = {https://arxiv.org/abs/1809.10012},
}

L. Dressel and M. J. Kochenderfer, “Pseudo-bearing measurements for improved localization of radio sources with multirotor UAVs,” in IEEE International Conference on Robotics and Automation (ICRA), 2018.
[Bibtex]

@InProceedings{Dressel2018icra,
author = {Louis Dressel and Mykel J. Kochenderfer},
booktitle = icra,
title = {Pseudo-bearing measurements for improved localization of radio sources with multirotor {UAV}s},
year = {2018},
doi = {10.1109/ICRA.2018.8460734},
}

K. D. Julian and M. J. Kochenderfer, “Autonomous distributed wildfire surveillance using deep reinforcement learning,” in AIAA Guidance, Navigation, and Control Conference (GNC), 2018.
[Bibtex]

@InProceedings{Julian2018,
author = {Kyle D. Julian and Mykel J. Kochenderfer},
booktitle = gnc,
title = {Autonomous distributed wildfire surveillance using deep reinforcement learning},
year = {2018},
doi = {10.2514/6.2018-1589},
}

M. Kelly, C. R. Sidrane, K. R. Driggs-Campbell, and M. J. Kochenderfer, “Safe interactive imitation learning from humans,” in Imitation Learning and its Challenges in Robotics Workshop, Advances in Neural Information Processing Systems (NeurIPS), 2018.
[Bibtex]

@InProceedings{Kelly2018,
author = {Michael Kelly and Chelsea R. Sidrane and Katherine R. Driggs-Campbell and Mykel J. Kochenderfer},
booktitle = {Imitation Learning and its Challenges in Robotics Workshop, } # neurips,
title = {Safe interactive imitation learning from humans},
year = {2018},
url = {https://drive.google.com/open?id=18rJr7eXPa9rEvapyrQOfjgyQtSlMd03y},
}

M. Koren, S. Alsaif, R. Lee, and M. J. Kochenderfer, “Adaptive stress testing for autonomous vehicles,” in IEEE Intelligent Vehicles Symposium (IV), 2018.
[Bibtex]

@InProceedings{Koren2018,
author = {Mark Koren and Saud Alsaif and Ritchie Lee and Mykel J. Kochenderfer},
booktitle = iv,
title = {Adaptive stress testing for autonomous vehicles},
year = {2018},
doi = {10.1109/IVS.2018.8500400},
url = {https://arxiv.org/abs/1902.01909},
}

A. Kuefler and M. J. Kochenderfer, “Burn-in demonstrations for multi-modal imitation learning,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
[Bibtex]

@InProceedings{Kuefler2018,
author = {Alex Kuefler and Mykel J. Kochenderfer},
booktitle = aamas,
title = {Burn-in demonstrations for multi-modal imitation learning},
year = {2018},
doi = {10.5555/3237383.3237856},
url = {https://dl.acm.org/citation.cfm?id=3237856},
}

L. Kuper, G. Katz, J. Gottschlich, K. D. Julian, C. Barrett, and M. J. Kochenderfer, “Toward scalable verification for safety-critical deep networks,” in SysML, 2018.
[Bibtex]

@InProceedings{Kuper2018,
author = {Lindsey Kuper and Guy Katz and Justin Gottschlich and Kyle D. Julian and Clark Barrett and Mykel J. Kochenderfer},
booktitle = {SysML},
title = {Toward scalable verification for safety-critical deep networks},
year = {2018},
url = {https://arxiv.org/abs/1801.05950},
}

R. Lee, M. J. Kochenderfer, O. J. Mengshoel, and J. Silbermann, “Interpretable categorization of heterogeneous time series data,” in SIAM International Conference on Data Mining, 2018.
[Bibtex]

@InProceedings{Lee2018siam,
author = {Ritchie Lee and Mykel J. Kochenderfer and Ole J. Mengshoel and Joshua Silbermann},
booktitle = {SIAM International Conference on Data Mining},
title = {Interpretable categorization of heterogeneous time series data},
year = {2018},
doi = {10.1137/1.9781611975321.25},
url = {https://arxiv.org/abs/1708.09121},
}

R. Lee, O. J. Mengshoel, A. Saksena, R. Gardner, D. Genin, J. S. Brush, and M. J. Kochenderfer, “Differential adaptive stress testing of airborne collision avoidance systems,” in AIAA Modeling and Simulation Conference, 2018.
[Bibtex]

@InProceedings{Lee2018,
author = {Ritchie Lee and Ole J. Mengshoel and Anshu Saksena and Ryan Gardner and Daniel Genin and Jeffrey S. Brush and Mykel J. Kochenderfer},
booktitle = aiaa_mands,
title = {Differential adaptive stress testing of airborne collision avoidance systems},
year = {2018},
doi = {10.2514/6.2018-1923},
}

C. Liu and M. J. Kochenderfer, “Analytically modeling unmanaged intersections with microscopic vehicle interactions,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018.
[Bibtex]

@InProceedings{Liu2018,
author = {Changliu Liu and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Analytically modeling unmanaged intersections with microscopic vehicle interactions},
year = {2018},
doi = {10.1109/ITSC.2018.8569825},
url = {https://arxiv.org/abs/1804.04746},
}

C. Liu and M. J. Kochenderfer, “Analyzing traffic delay at unmanaged intersections,” ArXiv, iss. 1806.02660, 2018.
[Bibtex]

@Article{Liu2018unmanaged,
author = {Changliu Liu and Mykel J. Kochenderfer},
journal = arxiv,
title = {Analyzing traffic delay at unmanaged intersections},
year = {2018},
number = {1806.02660},
url = {https://arxiv.org/abs/1806.02660},
}

X. Ma, K. R. Driggs-Campbell, and M. J. Kochenderfer, “Improved robustness, safety, and efficiency with adversarial reinforcement learning,” in IEEE Intelligent Vehicles Symposium (IV), 2018.
[Bibtex]

@InProceedings{Ma2018,
author = {Xiaobai Ma and Katherine R. Driggs-Campbell and Mykel J. Kochenderfer},
booktitle = iv,
title = {Improved robustness, safety, and efficiency with adversarial reinforcement learning},
year = {2018},
doi = {10.1109/IVS.2018.8500450},
}

J. Morton, T. A. Wheeler, and M. J. Kochenderfer, “Closed-loop policies for operational tests of safety-critical systems,” IEEE Transactions on Intelligent Transportation Systems, vol. 3, iss. 3, pp. 317-328, 2018.
[Bibtex]

@Article{Morton2018,
author = {Jeremy Morton and Tim A. Wheeler and Mykel J. Kochenderfer},
journal = ieeetits,
title = {Closed-loop policies for operational tests of safety-critical systems},
year = {2018},
number = {3},
pages = {317-328},
volume = {3},
doi = {10.1109/TIV.2018.2843128},
url = {https://arxiv.org/abs/1707.08234},
}

J. Morton, F. D. Witherden, A. Jameson, and M. J. Kochenderfer, “Deep dynamical modeling and control of unsteady fluid flows,” in Advances in Neural Information Processing Systems (NeurIPS), 2018.
[Bibtex]

@InProceedings{Morton2018nips,
author = {Jeremy Morton and Freddie D. Witherden and Antony Jameson and Mykel J. Kochenderfer},
booktitle = neurips,
title = {Deep dynamical modeling and control of unsteady fluid flows},
year = {2018},
url = {https://papers.nips.cc/paper/8138-deep-dynamical-modeling-and-control-of-unsteady-fluid-flows.pdf},
}

P. Rosello and M. J. Kochenderfer, “Multi-agent reinforcement learning for multi-object tracking,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
[Bibtex]

@InProceedings{Rosello2018,
author = {Pol Rosello and Mykel J. Kochenderfer},
booktitle = aamas,
title = {Multi-agent reinforcement learning for multi-object tracking},
year = {2018},
doi = {10.5555/3237383.3237908},
url = {http://ifaamas.org/Proceedings/aamas2018/pdfs/p1397.pdf},
}

R. Shu, H. H. Bui, S. Zhao, M. J. Kochenderfer, and S. Ermon, “Theoretical foundations and applications of deep generative models,” in Workshop on Theoretical Foundations and Applications of Deep Generative Models, International Conference on Machine Learning (ICML), 2018.
[Bibtex]

@InProceedings{Shu2018icml,
author = {Rui Shu and Hung Hai Bui and Shengjia Zhao and Mykel J. Kochenderfer and Stefano Ermon},
booktitle = {Workshop on Theoretical Foundations and Applications of Deep Generative Models, } # icml,
title = {Theoretical foundations and applications of deep generative models},
year = {2018},
url = {https://drive.google.com/open?id=134Qf1uwXHgsfk7vDuuo8gLrJLct639DI},
}

R. Shu, H. H. Bui, S. Zhao, M. J. Kochenderfer, and S. Ermon, “Amortized inference regularization,” in Advances in Neural Information Processing Systems (NeurIPS), 2018.
[Bibtex]

@InProceedings{Shu2018nips,
author = {Rui Shu and Hung Hai Bui and Shengjia Zhao and Mykel J. Kochenderfer and Stefano Ermon},
booktitle = neurips,
title = {Amortized inference regularization},
year = {2018},
url = {https://papers.nips.cc/paper/7692-amortized-inference-regularization.pdf},
}

R. Shu, S. Zhao, and M. J. Kochenderfer, “Rethinking style and content disentanglement in variational autoencoders,” in International Conference on Learning Representations (Workshop Track), 2018.
[Bibtex]

@InProceedings{Shu2018,
author = {Rui Shu and Shengjia Zhao and Mykel J. Kochenderfer},
booktitle = {International Conference on Learning Representations (Workshop Track)},
title = {Rethinking style and content disentanglement in variational autoencoders},
year = {2018},
url = {https://openreview.net/forum?id=B1rQtwJDG},
}

C. R. Sidrane and M. J. Kochenderfer, “Closed-loop planning for disaster evacuation with stochastic arrivals,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018.
[Bibtex]

@InProceedings{Sidrane2018,
author = {Chelsea R. Sidrane and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Closed-loop planning for disaster evacuation with stochastic arrivals},
year = {2018},
doi = {10.1109/ITSC.2018.8569957},
}

E. Sonu, Z. N. Sunberg, and M. J. Kochenderfer, “Exploiting hierarchy for scalable decision making in autonomous driving,” in IEEE Intelligent Vehicles Symposium (IV), 2018.
[Bibtex]

@InProceedings{Sonu2018,
author = {Ekhlas Sonu and Zachary N. Sunberg and Mykel J. Kochenderfer},
booktitle = iv,
title = {Exploiting hierarchy for scalable decision making in autonomous driving},
year = {2018},
doi = {10.1109/IVS.2018.8500681},
}

Z. N. Sunberg and M. J. Kochenderfer, “Online algorithms for POMDPs with continuous state, action, and observation spaces,” in International Conference on Automated Planning and Scheduling (ICAPS), 2018.
[Bibtex]

@InProceedings{Sunberg2018,
author = {Zachary N. Sunberg and Mykel J. Kochenderfer},
booktitle = icaps,
title = {Online algorithms for {POMDP}s with continuous state, action, and observation spaces},
year = {2018},
url = {https://www.aaai.org/ocs/index.php/ICAPS/ICAPS18/paper/viewFile/17734/16986},
}

S. Thornton, F. E. Lewis, V. Zhang, M. J. Kochenderfer, and C. J. Gerdes, “Value sensitive design for autonomous vehicle motion planning,” in IEEE Intelligent Vehicles Symposium (IV), 2018.
[Bibtex]

@InProceedings{Thornton2018,
author = {Sarah Thornton and Francis E. Lewis and Vivian Zhang and Mykel J. Kochenderfer and J. Christian Gerdes},
booktitle = iv,
title = {Value sensitive design for autonomous vehicle motion planning},
year = {2018},
doi = {10.1109/IVS.2018.8500441},
}

R. E. Tompa and M. J. Kochenderfer, “Optimal aircraft rerouting during space launches using adaptive spatial discretization,” in Digital Avionics Systems Conference (DASC), 2018.
[Bibtex]

@InProceedings{Tompa2018dasc,
author = {Rachael E. Tompa and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Optimal aircraft rerouting during space launches using adaptive spatial discretization},
year = {2018},
doi = {10.1109/DASC.2018.8569888},
}

R. E. Tompa, B. Wulfe, M. J. Kochenderfer, and M. P. Owen, “Horizontal maneuver coordination for aircraft collision-avoidance systems,” Journal of Aerospace Information Systems, vol. 15, iss. 2, pp. 92-106, 2018.
[Bibtex]

@Article{Tompa2018,
author = {Rachael E. Tompa and Blake Wulfe and Mykel J. Kochenderfer and Michael P. Owen},
journal = jais,
title = {Horizontal maneuver coordination for aircraft collision-avoidance systems},
year = {2018},
number = {2},
pages = {92-106},
volume = {15},
doi = {10.2514/1.I010576},
}

J. M. Walker, A. M. Okamura, and M. J. Kochenderfer, “Gaussian process dynamic programming for optimizing ungrounded haptic guidance,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.
[Bibtex]

@InProceedings{Walker2018,
author = {Julie M. Walker and Allison M. Okamura and Mykel J. Kochenderfer},
booktitle = iros,
title = {Gaussian process dynamic programming for optimizing ungrounded haptic guidance},
year = {2018},
doi = {10.1109/IROS.2018.8594395},
}

B. Wulfe, M. J. Kochenderfer, S. Chintakindi, S. C. Choi, R. Hartong-Redden, and A. Kodali, “Real-time prediction of intermediate-horizon automotive collision risk,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
[Bibtex]

@InProceedings{Wulfe2018aamas,
author = {Blake Wulfe and Mykel J. Kochenderfer and Sunil Chintakindi and Sou Cheng Choi and Rory Hartong-Redden and Anuradha Kodali},
booktitle = aamas,
title = {Real-time prediction of intermediate-horizon automotive collision risk},
year = {2018},
doi = {10.5555/3237383.3237858},
url = {http://ifaamas.org/Proceedings/aamas2018/pdfs/p1087.pdf},
}

A. Zanette, J. Zhang, and M. J. Kochenderfer, “Robust super-level set estimation using Gaussian processes,” in European Conference on Machine Learning (ECML), 2018.
[Bibtex]

@InProceedings{Zanette2018,
author = {Andrea Zanette and Junzi Zhang and Mykel J. Kochenderfer},
booktitle = ecml,
title = {Robust super-level set estimation using {G}aussian processes},
year = {2018},
doi = {10.1007/978-3-030-10928-8_17},
url = {https://arxiv.org/abs/1811.09977},
}

Z. Zhang and M. J. Kochenderfer, “Decision-theoretic planning in partially observable environments,” in Interactions in Multiagent Systems, J. Hao and H. Leung, Eds., World Scientific, 2018, pp. 65-90.
[Bibtex]

@InCollection{Zhang2018,
author = {Zongzhang Zhang and Mykel J. Kochenderfer},
booktitle = {Interactions in Multiagent Systems},
publisher = {World Scientific},
title = {Decision-theoretic planning in partially observable environments},
year = {2018},
editor = {Jianye Hao and Ho-Fung Leung},
pages = {65-90},
doi = {10.1142/9789813208742_0004},
}

M. Bouton, “Utility decomposition for planning under uncertainty for autonomous driving,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
[Bibtex]

@InProceedings{Bouton2018dc,
author = {Maxime Bouton},
booktitle = aamas,
title = {Utility decomposition for planning under uncertainty for autonomous driving},
year = {2018},
url = {http://ifaamas.org/Proceedings/aamas2018/pdfs/p1731.pdf},
}

L. K. Dressel, “Efficient and low-cost localization of radio sources with an autonomous drone,” PhD Thesis, 2018.
[Bibtex]

@PhdThesis{Dressel2018phd,
author = {Louis Kenneth Dressel},
school = {Stanford University},
title = {Efficient and low-cost localization of radio sources with an autonomous drone},
year = {2018},
url = {https://purl.stanford.edu/sk886gy8676},
}

A. Grover, M. Al-Shedivat, J. K. Gupta, Y. Burda, and H. Edwards, “Learning policy representations in multiagent systems,” in International Conference on Machine Learning (ICML), 2018.
[Bibtex]

@InProceedings{Grover2018,
author = {Aditya Grover and Maruan Al-Shedivat and Jayesh K. Gupta and Yura Burda and Harrison Edwards},
booktitle = icml,
title = {Learning policy representations in multiagent systems},
year = {2018},
url = {https://arxiv.org/abs/1806.06464},
}

A. Grover, M. Al-Shedivat, J. K. Gupta, Y. Burda, and H. Edwards, “Evaluating generalization in multiagent systems using agent-interaction graphs,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
[Bibtex]

@InProceedings{Grover2018aamas,
author = {Aditya Grover and Maruan Al-Shedivat and Jayesh K. Gupta and Yura Burda and Harrison Edwards},
booktitle = aamas,
title = {Evaluating generalization in multiagent systems using agent-interaction graphs},
year = {2018},
doi = {10.5555/3237383.3238032},
}

Z. N. Sunberg, “Safety and efficiency in autonomous vehicles through planning with uncertainty,” PhD Thesis, 2018.
[Bibtex]

@PhdThesis{Sunberg2018phd,
author = {Zachary N. Sunberg},
school = {Stanford University},
title = {Safety and efficiency in autonomous vehicles through planning with uncertainty},
year = {2018},
url = {https://purl.stanford.edu/cq368zc3698},
}

T. A. Wheeler, “Automotive safety validation in simulation,” PhD Thesis, 2018.
[Bibtex]

@PhdThesis{Wheeler2018phd,
author = {Wheeler, Tim Allen},
school = {Stanford University},
title = {Automotive safety validation in simulation},
year = {2018},
url = {http://purl.stanford.edu/rf540sb8375},
}

2017

D. Bertsimas, D. J. Griffith, V. Gupta, M. J. Kochenderfer, and V. V. Misic, “A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems,” European Journal of Operational Research, vol. 263, iss. 2, pp. 664-678, 2017.
[Bibtex]

@Article{Bertsimas2017,
author = {Dimitris Bertsimas and J. Daniel Griffith and Vishal Gupta and Mykel J. Kochenderfer and Velibor V. Misic},
journal = {European Journal of Operational Research},
title = {A comparison of {M}onte {C}arlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems},
year = {2017},
number = {2},
pages = {664-678},
volume = {263},
doi = {10.1016/j.ejor.2017.05.032},
}

M. Bouton, A. Cosgun, and M. J. Kochenderfer, “Belief state planning for autonomously navigating urban intersections,” in IEEE Intelligent Vehicles Symposium (IV), 2017.
[Bibtex]

@InProceedings{Bouton2017,
author = {Maxime Bouton and Akansel Cosgun and Mykel J. Kochenderfer},
booktitle = iv,
title = {Belief state planning for autonomously navigating urban intersections},
year = {2017},
doi = {10.1109/IVS.2017.7995818},
url = {https://arxiv.org/abs/1704.04322},
}

Y. Chen, T. A. Wheeler, and M. J. Kochenderfer, “Learning discrete Bayesian networks from continuous data,” Journal of Artificial Intelligence Research, vol. 59, pp. 103-132, 2017.
[Bibtex]

@Article{Chen2017,
author = {Yi-Chun Chen and Tim A. Wheeler and Mykel J. Kochenderfer},
journal = jair,
title = {Learning discrete {B}ayesian networks from continuous data},
year = {2017},
pages = {103-132},
volume = {59},
doi = {10.1613/jair.5371},
}

L. Dressel and M. J. Kochenderfer, “Efficient decision-theoretic target localization,” in International Conference on Automated Planning and Scheduling (ICAPS), 2017.
[Bibtex]

@InProceedings{Dressel2017,
author = {Louis Dressel and Mykel J. Kochenderfer},
booktitle = icaps,
title = {Efficient decision-theoretic target localization},
year = {2017},
url = {https://aaai.org/ocs/index.php/ICAPS/ICAPS17/paper/view/15761},
}

M. Egorov, Z. N. Sunberg, E. Balaban, T. A. Wheeler, J. K. Gupta, and M. J. Kochenderfer, “POMDPs.jl: A framework for sequential decision making under uncertainty,” Journal of Machine Learning Research, vol. 18, iss. 26, p. 1–5, 2017.
[Bibtex]

@Article{Egorov2017,
author = {Maxim Egorov and Zachary N. Sunberg and Edward Balaban and Tim A. Wheeler and Jayesh K. Gupta and Mykel J. Kochenderfer},
journal = jmlr,
title = {{POMDPs.jl}: {A} framework for sequential decision making under uncertainty},
year = {2017},
number = {26},
pages = {1--5},
volume = {18},
url = {http://jmlr.org/papers/v18/16-300.html},
}

D. J. Griffith, M. J. Kochenderfer, R. J. Moss, V. V. Misic, V. Gupta, and D. Bertsimas, “Automated dynamic resource allocation for wildfire suppression,” Lincoln Laboratory Journal, vol. 22, iss. 2, pp. 38-59, 2017.
[Bibtex]

@Article{Griffith2017,
author = {J. Daniel Griffith and Mykel J. Kochenderfer and Robert J. Moss and Velibor V. Misic and Vishal Gupta and Dimitris Bertsimas},
journal = {Lincoln Laboratory Journal},
title = {Automated dynamic resource allocation for wildfire suppression},
year = {2017},
number = {2},
pages = {38-59},
volume = {22},
url = {https://www.ll.mit.edu/sites/default/files/page/doc/2018-06/22_2_3_Griffith.pdf},
}

J. K. Gupta, M. Egorov, and M. J. Kochenderfer, “Cooperative multi-agent control using deep reinforcement learning,” in Workshop on Adaptive Learning Agents, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017.
[Bibtex]

@InProceedings{Gupta2017,
author = {Jayesh K. Gupta and Maxim Egorov and Mykel J. Kochenderfer},
booktitle = {Workshop on Adaptive Learning Agents, } # aamas,
title = {Cooperative multi-agent control using deep reinforcement learning},
year = {2017},
doi = {10.1007/978-3-319-71682-4_5},
}

K. D. Julian and M. J. Kochenderfer, “Neural network guidance for UAVs,” in AIAA Guidance, Navigation, and Control Conference (GNC), 2017.
[Bibtex]

@InProceedings{Julian2017,
author = {Kyle D. Julian and Mykel J. Kochenderfer},
booktitle = gnc,
title = {Neural network guidance for {UAV}s},
year = {2017},
doi = {10.2514/6.2017-1743},
}

G. Katz, C. Barrett, D. L. Dill, K. D. Julian, and M. J. Kochenderfer, “Reluplex: An efficient SMT solver for verifying deep neural networks,” in International Conference on Computer-Aided Verification, 2017.
[Bibtex]

@InProceedings{Katz2017,
author = {Guy Katz and Clark Barrett and David L. Dill and Kyle D. Julian and Mykel J. Kochenderfer},
booktitle = {International Conference on Computer-Aided Verification},
title = {Reluplex: {A}n efficient {SMT} solver for verifying deep neural networks},
year = {2017},
url = {https://arxiv.org/abs/1702.01135},
}

G. Katz, C. Barrett, D. L. Dill, K. D. Julian, and M. J. Kochenderfer, “Towards proving the adversarial robustness of deep neural networks,” in Workshop on Formal Verification of Autonomous Vehicles, International Conference on Integrated Formal Methods (iFM), 2017.
[Bibtex]

@InProceedings{Katz2017fvav,
author = {Guy Katz and Clark Barrett and David L. Dill and Kyle D. Julian and Mykel J. Kochenderfer},
booktitle = {Workshop on Formal Verification of Autonomous Vehicles, International Conference on Integrated Formal Methods (iFM)},
title = {Towards proving the adversarial robustness of deep neural networks},
year = {2017},
doi = {10.4204/EPTCS.257.3},
url = {https://arxiv.org/abs/1709.02802},
}

Y. Kim, Y. Gur, and M. J. Kochenderfer, “Heuristics for planning with rare catastrophic events,” in Winter Simulation Conference, 2017.
[Bibtex]

@InProceedings{Kim2017,
author = {Youngjun Kim and Yonatan Gur and Mykel J. Kochenderfer},
booktitle = {Winter Simulation Conference},
title = {Heuristics for planning with rare catastrophic events},
year = {2017},
doi = {10.1109/WSC.2017.8248024},
}

A. Kuefler, M. J. Kochenderfer, and J. L. McClelland, “Geometric concept acquisition in a dueling deep Q-network,” in Annual Meeting of the Cognitive Science Society, 2017.
[Bibtex]

@InProceedings{Kuefler2017a,
author = {Alex Kuefler and Mykel J. Kochenderfer and James L. McClelland},
booktitle = {Annual Meeting of the Cognitive Science Society},
title = {Geometric concept acquisition in a dueling deep {Q}-network},
year = {2017},
url = {https://mindmodeling.org/cogsci2017/papers/0473/paper0473.pdf},
}

A. Kuefler, J. Morton, T. A. Wheeler, and M. J. Kochenderfer, “Imitating driver behavior with generative adversarial networks,” in IEEE Intelligent Vehicles Symposium (IV), 2017.
[Bibtex]

@InProceedings{Kuefler2017,
author = {Alex Kuefler and Jeremy Morton and Tim A. Wheeler and Mykel J. Kochenderfer},
booktitle = iv,
title = {Imitating driver behavior with generative adversarial networks},
year = {2017},
doi = {10.1109/IVS.2017.7995721},
}

Z. Mahboubi and M. J. Kochenderfer, “Learning traffic patterns at small airports from flight tracks,” IEEE Transactions on Intelligent Transportation Systems, vol. 18, iss. 4, pp. 917-926, 2017.
[Bibtex]

@Article{Mahboubi2017,
author = {Zouhair Mahboubi and Mykel J. Kochenderfer},
journal = ieeetits,
title = {Learning traffic patterns at small airports from flight tracks},
year = {2017},
number = {4},
pages = {917-926},
volume = {18},
doi = {10.1109/TITS.2016.2598064},
}

J. Mern, J. K. Gupta, and M. J. Kochenderfer, “Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures,” in IEEE Symposium Series on Computational Intelligence, 2017.
[Bibtex]

@InProceedings{Mern2017,
author = {John Mern and Jayesh K. Gupta and Mykel J. Kochenderfer},
booktitle = {IEEE Symposium Series on Computational Intelligence},
title = {Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures},
year = {2017},
doi = {10.1109/SSCI.2017.8285202},
}

J. Morton and M. J. Kochenderfer, “Simultaneous policy learning and latent state inference for imitating driver behavior,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017.
[Bibtex]

@InProceedings{Morton2017itsc,
author = {Jeremy Morton and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Simultaneous policy learning and latent state inference for imitating driver behavior},
year = {2017},
doi = {10.1109/ITSC.2017.8317738},
url = {https://arxiv.org/abs/1704.05566},
}

J. Morton, T. A. Wheeler, and M. J. Kochenderfer, “Analysis of recurrent neural networks for probabilistic modeling of driver behavior,” IEEE Transactions on Intelligent Transportation Systems, vol. 18, iss. 5, pp. 1289-1298, 2017.
[Bibtex]

@Article{Morton2017,
author = {Jeremy Morton and Tim A. Wheeler and Mykel J. Kochenderfer},
journal = ieeetits,
title = {Analysis of recurrent neural networks for probabilistic modeling of driver behavior},
year = {2017},
number = {5},
pages = {1289-1298},
volume = {18},
doi = {10.1109/TITS.2016.2603007},
}

H. Y. Ong and M. J. Kochenderfer, “Markov decision process-based distributed conflict resolution for drone air traffic management,” Journal of Guidance, Control, and Dynamics, vol. 40, iss. 1, pp. 69-80, 2017.
[Bibtex]

@Article{Ong2017,
author = {Hao Yi Ong and Mykel J. Kochenderfer},
journal = jgcd,
title = {Markov decision process-based distributed conflict resolution for drone air traffic management},
year = {2017},
number = {1},
pages = {69-80},
volume = {40},
doi = {10.2514/1.G001822},
}

D. J. Phillips, T. A. Wheeler, and M. J. Kochenderfer, “Generalizable intention prediction of human drivers at intersections,” in IEEE Intelligent Vehicles Symposium (IV), 2017.
[Bibtex]

@InProceedings{Phillips2017,
author = {Derek J. Phillips and Tim A. Wheeler and Mykel J. Kochenderfer},
booktitle = iv,
title = {Generalizable intention prediction of human drivers at intersections},
year = {2017},
doi = {10.1109/IVS.2017.7995948},
}

P. Slade, P. Culbertson, Z. N. Sunberg, and M. J. Kochenderfer, “Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.
[Bibtex]

@InProceedings{Slade2017,
author = {Patrick Slade and Preston Culbertson and Zachary N. Sunberg and Mykel J. Kochenderfer},
booktitle = iros,
title = {Simultaneous active parameter estimation and control using sampling-based {B}ayesian reinforcement learning},
year = {2017},
doi = {10.1109/IROS.2017.8202242},
}

Z. N. Sunberg, C. Ho, and M. J. Kochenderfer, “The value of inferring the internal state of traffic participants for autonomous freeway driving,” in American Control Conference (ACC), 2017.
[Bibtex]

@InProceedings{Sunberg2017,
author = {Zachary N. Sunberg and Christopher Ho and Mykel J. Kochenderfer},
booktitle = acc,
title = {The value of inferring the internal state of traffic participants for autonomous freeway driving},
year = {2017},
doi = {10.23919/ACC.2017.7963408},
}

T. A. Wheeler, M. F. Holder, H. Winner, and M. J. Kochenderfer, “Deep stochastic radar models,” in IEEE Intelligent Vehicles Symposium (IV), 2017.
[Bibtex]

@InProceedings{Wheeler2017,
author = {Tim A. Wheeler and Martin Friedrich Holder and Hermann Winner and Mykel J. Kochenderfer},
booktitle = iv,
title = {Deep stochastic radar models},
year = {2017},
doi = {10.1109/IVS.2017.7995697},
}

Z. Zhang, Z. Pan, and M. J. Kochenderfer, “Weighted double Q-learning,” in International Joint Conference on Artificial Intelligence (IJCAI), 2017.
[Bibtex]

@InProceedings{Zhang2017,
author = {Zongzhang Zhang and Zhiyuan Pan and Mykel J. Kochenderfer},
booktitle = ijcai,
title = {Weighted double {Q}-learning},
year = {2017},
doi = {10.24963/ijcai.2017/483},
}

2016

J. Cox and M. J. Kochenderfer, “Probabilistic airport acceptance rate prediction,” in AIAA Modeling and Simulation Conference, San Diego, Calif., 2016.
[Bibtex]

@InProceedings{Cox2016,
author = {Jonathan Cox and Mykel J. Kochenderfer},
booktitle = aiaa_mands,
title = {Probabilistic airport acceptance rate prediction},
year = {2016},
address = {San Diego, Calif.},
doi = {10.2514/6.2016-0165},
}

J. Cox and M. J. Kochenderfer, “Ground delay program planning using Markov decision processes,” Journal of Aerospace Information Systems, vol. 13, iss. 3, pp. 134-142, 2016.
[Bibtex]

@Article{Cox2016jais,
author = {Jonathan Cox and Mykel J. Kochenderfer},
journal = jais,
title = {Ground delay program planning using {M}arkov decision processes},
year = {2016},
number = {3},
pages = {134-142},
volume = {13},
doi = {10.2514/1.I010387},
}

M. Egorov, M. J. Kochenderfer, and J. J. Uudmae, “Target surveillance in adversarial environments using POMDPs,” in AAAI Conference on Artificial Intelligence (AAAI), 2016.
[Bibtex]

@InProceedings{Egorov2016,
author = {Maxim Egorov and Mykel J. Kochenderfer and Jaak J. Uudmae},
booktitle = aaai,
title = {Target surveillance in adversarial environments using {POMDP}s},
year = {2016},
url = {https://aaai.org/papers/126-target-surveillance-in-adversarial-environments-using-pomdps/},
}

K. D. Julian, J. Lopez, J. S. Brush, M. P. Owen, and M. J. Kochenderfer, “Policy compression for aircraft collision avoidance systems,” in Digital Avionics Systems Conference (DASC), 2016.
[Bibtex]

@InProceedings{Julian2016dasc,
author = {Kyle D. Julian and Jessica Lopez and Jeffrey S. Brush and Michael P. Owen and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Policy compression for aircraft collision avoidance systems},
year = {2016},
doi = {10.1109/DASC.2016.7778091},
}

Y. Kim and M. J. Kochenderfer, “Improving aircraft collision risk estimation using the cross-entropy method,” Journal of Air Transportation, vol. 24, iss. 2, pp. 55-61, 2016.
[Bibtex]

@Article{Kim2016,
author = {Youngjun Kim and Mykel J. Kochenderfer},
journal = {Journal of Air Transportation},
title = {Improving aircraft collision risk estimation using the cross-entropy method},
year = {2016},
number = {2},
pages = {55-61},
volume = {24},
doi = {10.2514/1.D0020},
}

V. Mehta, P. Rowe, G. Lewis, A. Magalhaes, and M. J. Kochenderfer, “Decision-theoretic approach to designing cyber resilient systems,” in IEEE International Symposium on Network Computing and Applications, 2016.
[Bibtex]

@InProceedings{Mehta2016,
author = {Vineet Mehta and Paul Rowe and Gene Lewis and Ashe Magalhaes and Mykel J. Kochenderfer},
booktitle = {IEEE International Symposium on Network Computing and Applications},
title = {Decision-theoretic approach to designing cyber resilient systems},
year = {2016},
doi = {10.1109/NCA.2016.7778634},
}

E. Mueller and M. J. Kochenderfer, “Simulation comparison of collision avoidance algorithms for small multi-rotor aircraft,” in AIAA Modeling and Simulation Conference, 2016.
[Bibtex]

@InProceedings{Mueller2016comp,
author = {Eric Mueller and Mykel J. Kochenderfer},
booktitle = aiaa_mands,
title = {Simulation comparison of collision avoidance algorithms for small multi-rotor aircraft},
year = {2016},
doi = {10.2514/6.2016-3674},
}

E. Mueller and M. J. Kochenderfer, “Multi-rotor aircraft collision avoidance using partially observable Markov decision processes,” in AIAA Modeling and Simulation Conference, 2016.
[Bibtex]

@InProceedings{Mueller2016pomdp,
author = {Eric Mueller and Mykel J. Kochenderfer},
booktitle = aiaa_mands,
title = {Multi-rotor aircraft collision avoidance using partially observable {M}arkov decision processes},
year = {2016},
doi = {10.2514/6.2016-3673},
}

A. Nuttall, M. J. Kochenderfer, and S. Close, “Detection of hypervelocity impact radio frequency pulses through prior constrained source separation,” Radio Science, vol. 51, iss. 10, pp. 1660-1675, 2016.
[Bibtex]

@Article{Nuttall2016,
author = {Andrew Nuttall and Mykel J. Kochenderfer and Sigrid Close},
journal = {Radio Science},
title = {Detection of hypervelocity impact radio frequency pulses through prior constrained source separation},
year = {2016},
number = {10},
pages = {1660-1675},
volume = {51},
doi = {10.1002/2016RS006108},
}

M. P. Owen and M. J. Kochenderfer, “Dynamic logic selection for unmanned aircraft separation,” in Digital Avionics Systems Conference (DASC), Sacramento, Calif., 2016.
[Bibtex]

@InProceedings{Owen2016,
author = {Michael P. Owen and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Dynamic logic selection for unmanned aircraft separation},
year = {2016},
address = {Sacramento, Calif.},
doi = {10.1109/DASC.2016.7777959},
}

P. Robbel, F. A. Oliehoek, and M. J. Kochenderfer, “Exploiting anonymity in approximate linear programming: scaling to large multiagent MDPs,” in AAAI Conference on Artificial Intelligence (AAAI), 2016.
[Bibtex]

@InProceedings{Robbel2016,
author = {Philipp Robbel and Frans A. Oliehoek and Mykel J. Kochenderfer},
booktitle = aaai,
title = {Exploiting anonymity in approximate linear programming: scaling to large multiagent {MDP}s},
year = {2016},
url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/download/12407/11909},
}

R. Shu, J. Brofos, F. Zhang, H. H. Bui, M. Ghavamzadeh, and M. J. Kochenderfer, “Stochastic video prediction with conditional density estimation,” in Workshop on Action and Anticipation for Visual Learning, European Conference on Computer Vision (ECCV), 2016.
[Bibtex]

@InProceedings{Shu2016,
author = {Rui Shu and James Brofos and Frank Zhang and Hung Hai Bui and Mohammad Ghavamzadeh and Mykel J. Kochenderfer},
booktitle = {Workshop on Action and Anticipation for Visual Learning, } # eccv,
title = {Stochastic video prediction with conditional density estimation},
year = {2016},
url = {http://vision.cs.utexas.edu/aavl_workshop_eccv16/papers/AAVL_PID17.pdf},
}

Z. N. Sunberg, M. J. Kochenderfer, and M. Pavone, “Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming,” in IEEE International Conference on Robotics and Automation (ICRA), 2016.
[Bibtex]

@InProceedings{Sunberg2016,
author = {Zachary N. Sunberg and Mykel J. Kochenderfer and Marco Pavone},
booktitle = icra,
title = {Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming},
year = {2016},
doi = {10.1109/ICRA.2016.7487280},
url = {https://arxiv.org/abs/1602.04762},
}

Y. Tkachenko, M. J. Kochenderfer, and K. Kluza, “Customer simulation for direct marketing experiments,” in IEEE International Conference on Data Science and Advanced Analytics (DSAA), Montreal, Canada, 2016.
[Bibtex]

@InProceedings{Tkachenko2016,
author = {Yegor Tkachenko and Mykel J. Kochenderfer and Krzysztof Kluza},
booktitle = {IEEE International Conference on Data Science and Advanced Analytics (DSAA)},
title = {Customer simulation for direct marketing experiments},
year = {2016},
address = {Montreal, Canada},
doi = {10.1109/DSAA.2016.59},
}

R. E. Tompa, B. Wulfe, M. P. Owen, and M. J. Kochenderfer, “Collision avoidance for unmanned aircraft using coordination tables,” in Digital Avionics Systems Conference (DASC), 2016.
[Bibtex]

@InProceedings{Tompa2016,
author = {Rachael E. Tompa and Blake Wulfe and Michael P. Owen and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Collision avoidance for unmanned aircraft using coordination tables},
year = {2016},
doi = {10.1109/DASC.2016.7777958},
}

T. A. Wheeler and M. J. Kochenderfer, “Factor graph scene distributions for automotive safety analysis,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, 2016.
[Bibtex]

@InProceedings{Wheeler2016scene,
author = {Tim A. Wheeler and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Factor graph scene distributions for automotive safety analysis},
year = {2016},
address = {Rio de Janeiro, Brazil},
doi = {10.1109/ITSC.2016.7795683},
}

T. A. Wheeler, P. Robbel, and M. J. Kochenderfer, “Analysis of microscopic behavior models for probabilistic modeling of driver behavior,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, 2016.
[Bibtex]

@InProceedings{Wheeler2016models,
author = {Tim A. Wheeler and Philipp Robbel and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Analysis of microscopic behavior models for probabilistic modeling of driver behavior},
year = {2016},
address = {Rio de Janeiro, Brazil},
doi = {10.1109/ITSC.2016.7795772},
}

Y. Kim, “Optimal planning with rare catastrophic events,” PhD Thesis, 2016.
[Bibtex]

@PhdThesis{Kim2016phd,
author = {Youngjun Kim},
school = {Stanford University},
title = {Optimal planning with rare catastrophic events},
year = {2016},
url = {http://purl.stanford.edu/sx512pn1987},
}

Z. Mahboubi, “Automated air traffic control for non-towered airports,” PhD Thesis, 2016.
[Bibtex]

@PhdThesis{Mahboubi2016phd,
author = {Zouhair Mahboubi},
school = {Stanford University},
title = {Automated air traffic control for non-towered airports},
year = {2016},
url = {http://purl.stanford.edu/xy440jg0968},
}

E. R. Mueller, “Multi-rotor aircraft collision avoidance using partially observable Markov decision processes,” PhD Thesis, 2016.
[Bibtex]

@PhdThesis{Mueller2016phd,
author = {Eric R. Mueller},
school = {Stanford University},
title = {Multi-rotor aircraft collision avoidance using partially observable {M}arkov decision processes},
year = {2016},
url = {http://purl.stanford.edu/rv444dz2833},
}

2015

J. Cox and M. J. Kochenderfer, “Optimization approaches to the single airport ground hold problem,” in AIAA Guidance, Navigation, and Control Conference (GNC), Kissimmee, FL, 2015.
[Bibtex]

@InProceedings{Cox2015,
author = {Jonathan Cox and Mykel J. Kochenderfer},
booktitle = gnc,
title = {Optimization approaches to the single airport ground hold problem},
year = {2015},
address = {Kissimmee, FL},
doi = {10.2514/6.2015-1329},
}

J. Cox and M. J. Kochenderfer, “Optimization approaches to the single airport ground holding problem,” Journal of Guidance, Control, and Dynamics, vol. 38, iss. 12, pp. 2399-2406, 2015.
[Bibtex]

@Article{Cox2015jgcd,
author = {Jonathan Cox and Mykel J. Kochenderfer},
journal = jgcd,
title = {Optimization approaches to the single airport ground holding problem},
year = {2015},
number = {12},
pages = {2399-2406},
volume = {38},
doi = {10.2514/1.G001081},
}

L. Dressel and M. J. Kochenderfer, “Signal source localization using partially observable Markov decision processes,” in AIAA Infotech@Aerospace Conference, Kissimmee, FL, 2015.
[Bibtex]

@InProceedings{Dressel2015,
author = {Louis Dressel and Mykel J. Kochenderfer},
booktitle = aiaa_info,
title = {Signal source localization using partially observable {M}arkov decision processes},
year = {2015},
address = {Kissimmee, FL},
doi = {10.2514/6.2015-0116},
}

C. Ho, M. J. Kochenderfer, V. Mehta, and R. S. Caceres, “Control of epidemics on graphs,” in IEEE Conference on Decision and Control (CDC), Osaka, Japan, 2015.
[Bibtex]

@InProceedings{Ho2015,
author = {Christopher Ho and Mykel J. Kochenderfer and Vineet Mehta and Rajmonda S. Caceres},
booktitle = cdc,
title = {Control of epidemics on graphs},
year = {2015},
address = {Osaka, Japan},
doi = {10.1109/CDC.2015.7402874},
}

Y. Kim and M. J. Kochenderfer, “Improving aircraft collision risk estimation using the cross-entropy method,” in AIAA Modeling and Simulation Conference, Kissimmee, FL, 2015.
[Bibtex]

@InProceedings{Kim2015,
author = {Youngjun Kim and Mykel J. Kochenderfer},
booktitle = aiaa_mands,
title = {Improving aircraft collision risk estimation using the cross-entropy method},
year = {2015},
address = {Kissimmee, FL},
doi = {10.2514/6.2015-0146},
}

Y. Kim, M. J. Kochenderfer, J. Grana, J. Bono, and D. H. Wolpert, “Optimal lost-link policies for unmanned aircraft,” in Digital Avionics Systems Conference (DASC), 2015.
[Bibtex]

@InProceedings{Kim2015dasc,
author = {Youngjun Kim and Mykel J. Kochenderfer and Justin Grana and James Bono and David H. Wolpert},
booktitle = dasc,
title = {Optimal lost-link policies for unmanned aircraft},
year = {2015},
doi = {10.1109/DASC.2015.7311430},
}

M. J. Kochenderfer, Decision Making Under Uncertainty: Theory and Application, MIT Press, 2015.
[Bibtex]

@Book{Kochenderfer2015,
author = {Mykel J. Kochenderfer},
publisher = {MIT Press},
title = {Decision Making Under Uncertainty: Theory and Application},
year = {2015},
url = {http://web.stanford.edu/group/sisl/public/dmu.pdf},
}

R. Lee, M. J. Kochenderfer, O. J. Mengshoel, G. P. Brat, and M. P. Owen, “Adaptive stress testing of airborne collision avoidance systems,” in Digital Avionics Systems Conference (DASC), 2015.
[Bibtex]

@InProceedings{Lee2015,
author = {Ritchie Lee and Mykel J. Kochenderfer and Ole J. Mengshoel and Guillaume P. Brat and Michael P. Owen},
booktitle = dasc,
title = {Adaptive stress testing of airborne collision avoidance systems},
year = {2015},
doi = {10.1109/DASC.2015.7311450},
}

J. R. Lepird, M. P. Owen, and M. J. Kochenderfer, “Bayesian preference elicitation for multiobjective engineering design optimization,” Journal of Aerospace Information Systems, vol. 12, iss. 10, pp. 634-645, 2015.
[Bibtex]

@Article{Lepird2015,
author = {John R. Lepird and Michael P. Owen and Mykel J. Kochenderfer},
journal = jais,
title = {Bayesian preference elicitation for multiobjective engineering design optimization},
year = {2015},
number = {10},
pages = {634-645},
volume = {12},
doi = {10.2514/1.I010363},
}

Z. Mahboubi and M. J. Kochenderfer, “Autonomous air traffic control for non-towered airports,” in Air Traffic Management Research and Development Seminar, 2015.
[Bibtex]

@InProceedings{Mahboubi2015,
author = {Zouhair Mahboubi and Mykel J. Kochenderfer},
booktitle = atm,
title = {Autonomous air traffic control for non-towered airports},
year = {2015},
url = {https://drive.google.com/file/d/10kJYLPa2YKHXizS5RXtZTSdsvIA5du_1/view?usp=sharing},
}

Z. Mahboubi and M. J. Kochenderfer, “Continuous time autonomous air traffic control for non-towered airports,” in IEEE Conference on Decision and Control (CDC), Osaka, Japan, 2015.
[Bibtex]

@InProceedings{Mahboubi2015a,
author = {Zouhair Mahboubi and Mykel J. Kochenderfer},
booktitle = cdc,
title = {Continuous time autonomous air traffic control for non-towered airports},
year = {2015},
address = {Osaka, Japan},
doi = {10.1109/CDC.2015.7402670},
}

H. Y. Ong and M. J. Kochenderfer, “Short-term conflict resolution for unmanned aircraft traffic management,” in Digital Avionics Systems Conference (DASC), 2015.
[Bibtex]

@InProceedings{Ong2015,
author = {Hao Yi Ong and Mykel J. Kochenderfer},
booktitle = dasc,
title = {Short-term conflict resolution for unmanned aircraft traffic management},
year = {2015},
doi = {10.1109/DASC.2015.7311424},
}

K. A. Smith, A. E. Vela, M. J. Kochenderfer, and W. A. Olson, “Optimizing a collision-avoidance system for closely spaced parallel operations,” Journal of Aerospace Information Systems, vol. 12, iss. 10, pp. 618-633, 2015.
[Bibtex]

@Article{Smith2015,
author = {Kyle A. Smith and Adan E. Vela and Mykel J. Kochenderfer and Wesley A. Olson},
journal = jais,
title = {Optimizing a collision-avoidance system for closely spaced parallel operations},
year = {2015},
number = {10},
pages = {618-633},
volume = {12},
doi = {10.2514/1.I010352},
}

R. E. Tompa, M. J. Kochenderfer, R. Cole, and J. K. Kuchar, “Optimal aircraft rerouting during commercial space launches,” in Digital Avionics Systems Conference (DASC), 2015.
[Bibtex]

@InProceedings{Tompa2015,
author = {Rachael E. Tompa and Mykel J. Kochenderfer and Rodney Cole and James K. Kuchar},
booktitle = dasc,
title = {Optimal aircraft rerouting during commercial space launches},
year = {2015},
doi = {10.1109/DASC.2015.7311486},
}

T. A. Wheeler, P. Robbel, and M. J. Kochenderfer, “A probabilistic framework for microscopic traffic propagation,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), Las Palmas de Gran Canaria, Spain, 2015.
[Bibtex]

@InProceedings{Wheeler2015,
author = {Tim A. Wheeler and Philipp Robbel and Mykel J. Kochenderfer},
booktitle = itsc,
title = {A probabilistic framework for microscopic traffic propagation},
year = {2015},
address = {Las Palmas de Gran Canaria, Spain},
doi = {10.1109/ITSC.2015.52},
}

T. A. Wheeler, P. Robbel, and M. J. Kochenderfer, “Initial scene configurations for highway traffic propagation,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), Las Palmas de Gran Canaria, Spain, 2015.
[Bibtex]

@InProceedings{Wheeler2015a,
author = {Tim A. Wheeler and Philipp Robbel and Mykel J. Kochenderfer},
booktitle = itsc,
title = {Initial scene configurations for highway traffic propagation},
year = {2015},
address = {Las Palmas de Gran Canaria, Spain},
doi = {10.1109/ITSC.2015.55},
}