Bio

Mykel Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University. Prior to joining the faculty, he was at MIT Lincoln Laboratory where he worked on airspace modeling and aircraft collision avoidance, with his early work leading to the establishment of the ACAS X program. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. He is an author of "Decision Making under Uncertainty: Theory and Application" (2015), "Algorithms for Optimization" (2019), and "Algorithms for Decision Making" (2022), all from MIT Press. He is a third generation pilot.

Academic Appointments

Administrative Appointments

  • Co-Director, Center for AI Safety (2018 - Present)
  • Director, SAIL-Toyota Center for AI Research (2018 - Present)

Program Affiliations

  • Symbolic Systems Program

Professional Education

  • Ph.D., University of Edinburgh, Informatics (2006)
  • M.S., Stanford University, Computer Science (2003)
  • B.S., Stanford University, Computer Science (2003)

Contact

  • Academic
    mykel@stanford.edu
    University - Faculty Department: Aeronautics and Astronautics Position: Assoc Professor
    • Durand Building, Room 255
    • Stanford,  California  94305 

Additional Info

Links

2024-25 Courses

Stanford Advisees

All Publications

  • A month in review: longitudinal dynamics between daily PTSD symptom networks, affect, and drinking behaviors in female college students Frontiers in Psychology Balters, S., Schlichting, M., Walton, T. O., Kochenderfer, M. J., Kaysen, D. 2024; 15

    View details for DOI 10.3389/fpsyg.2024.1388539

  • Global optimization of objective functions represented by ReLU networks Machine Learning Strong, C. A., Wu, H., Zeljić, A., Julian, K. D., Katz, G., Barrett, C., Kochenderfer, M. J. 2023; 112: 3685-3712

    View details for DOI 10.1007/s10994-021-06050-2

  • Towards assessing subcortical “deep brain” biomarkers of PTSD with functional near-infrared spectroscopy Cerebral Cortex Balters, S., Schlichting, M. R., Foland-Ross, L., Brigadoi, S., Millar, J. G., Kochenderfer, M. J., Garrett, A. S., Reiss, A. L. 2023; 33 (7): 3969-3984

    View details for DOI 10.1093/cercor/bhac320

  • Optimality guarantees for particle belief approximation of POMDPs Journal of Artificial Intelligence Research Lim, M. H., Becker, T. J., Kochenderfer, M. J., Tomlin, C. J., Sunberg, Z. N. 2023; 77: 1591-1636

    View details for DOI 10.1613/jair.1.14525

  • AVOIDDS: Aircraft vision-based intruder detection dataset and simulator Advances in Neural Information Processing Systems (NeurIPS) Smyers, E. Q., Katz, S. M., Corso, A., Kochenderfer, M. J. 2023
  • Efficient determination of safety requirements for perception systems Digital Avionics Systems Conference (DASC) Katz, S. M., Corso, A. L., Yel, E., Kochenderfer, M. J. 2023

    View details for DOI 10.1109/DASC58513.2023.10311157

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

    View details for DOI 10.1177/02783649231208729

  • Towards sequential sensor placements on a wind farm to maximize lifetime energy and profit Renewable Energy Yildiz, A., Mern, J., Kochenderfer, M. J., Howland, M. F. 2023; 216

    View details for DOI 10.1016/j.renene.2023.119040

  • Robust driving policy learning with guided meta reinforcement learning IEEE International Conference on Intelligent Transportation Systems (ITSC) Lee, K., Li, J., Isele, D., Park, J., Fujimura, K., Kochenderfer, M. J. 2023

    View details for DOI 10.1109/ITSC57777.2023.10422469

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

    View details for DOI 10.1109/ITSC57777.2023.10420845

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

    View details for DOI 10.1109/IV55152.2023.10186722

  • Deep normalizing flows for state estimation IEEE International Conference on Information Fusion (FUSION) Delecki, H., Kruse, L., Schlichting, M., Kochenderfer, M. J. 2023

    View details for DOI 10.23919/FUSION52260.2023.10224196

  • Backward reachability analysis of neural feedback loops: {T}echniques for linear and nonlinear systems IEEE Open Journal of Control Systems Rober, N., Katz, S. M., Sidrane, C., Yel, E., Everett, M., Kochenderfer, M. J., How, J. P. 2023; 2: 108-124

    View details for DOI 10.1109/ojcsys.2023.3265901

  • Model-based validation as probabilistic inference Conference on Learning for Dynamics and Control (L4DC) Delecki, H., Corso, A., Kochenderfer, M. J. 2023
  • Multirobot navigation using partially observable {M}arkov decision processes with belief-based rewards Journal of Aerospace Information Systems Tzikas, A. E., Knowles, D., Gao, G. X., Kochenderfer, M. J. 2023; 20 (8): 437-525

    View details for DOI 10.2514/1.i011146

  • Bayesian safety validation for black-box systems AIAA AVIATION Moss, R. J., Kochenderfer, M. J., Gariel, M., Dubois, A. 2023

    View details for DOI 10.2514/6.2023-3596

  • Modeling human driving behavior through generative adversarial imitation learning IEEE Transactions on Intelligent Transportation Systems Bhattacharyya, R., Wulfe, B., Phillips, D. J., Kuefler, A., Morton, J., Senanayake, R., Kochenderfer, M. J. 2023; 24 (3): 2874-2887

    View details for DOI 10.1109/tits.2022.3227738

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

    View details for DOI 10.1109/ICRA48891.2023.10161056

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

    View details for DOI 10.1109/ICRA48891.2023.10160929

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

    View details for DOI 10.1109/ICRA48891.2023.10160859

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

    View details for DOI 10.1109/ICRA48891.2023.10161449

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

    View details for DOI 10.1609/icaps.v33i1.27195

  • Portfolio construction as linearly constrained separable optimization Optimization and Engineering Moehle, N., Gindi, J., Boyd, S., Kochenderfer, M. J. 2023; 24: 1667-1687

    View details for DOI 10.1007/s11081-022-09748-x

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

    View details for DOI 10.1109/ICRA48891.2023.10161445

  • Conformal prediction for uncertainty-aware planning with diffusion dynamics model Advances in Neural Information Processing Systems (NeurIPS) Sun, J., Jiang, Y., Qiu, J., Nobel, P. T., Kochenderfer, M. J., Schwager, M. 2023
  • Generating probabilistic safety guarantees for neural network controllers Machine Learning Katz, S. M., Julian, K. D., Strong, C. A., Kochenderfer, M. J. 2023; 112: 2903-2931

    View details for DOI 10.1007/s10994-021-06065-9

  • Algorithms for Decision Making Kochenderfer, M. J., Wheeler, T. A., Wray, K. H. MIT Press. 2022
  • Modeling human driving behavior through generative adversarial imitation learning IEEE Transactions on Intelligent Transportation Systems Bhattacharyya, R., Wulfe, B., Phillips, D. J., Kuefler, A., Morton, J., Senanayake, R., Kochenderfer, M. J. 2022

    View details for DOI 10.1109/tits.2022.3227738

  • Personalizing exoskeleton assistance while walking in the real world Nature Slade, P., Kochenderfer, M. J., Delp, S. L., Collins, S. H. 2022; 610 (7931): 277-282

    View details for DOI 10.1038/s41586-022-05191-1

  • Interpretable self-aware neural networks for robust trajectory prediction Conference on Robot Learning (CoRL) Itkina, M., Kochenderfer, M. J. 2022
  • Interaction modeling with multiplex attention Advances in Neural Information Processing Systems (NeurIPS) Sun, F., Kauvar, I., Zhang, R., Li, J., Kochenderfer, M. J., Wu, J., Haber, N. 2022
  • Collaborative decision making using action suggestions Advances in Neural Information Processing Systems (NeurIPS) Asmar, D., Kochenderfer, M. J. 2022
  • Risk-driven design of perception systems Advances in Neural Information Processing Systems (NeurIPS) Corso, A., Katz, S. M., Innes, C. A., Du, X., Ramamoorthy, S., Kochenderfer, M. J. 2022
  • Collision risk and operational impact of speed change advisories as aircraft collision avoidance maneuvers AIAA AVIATION Forum Katz, S. M., Alvarez, L. E., Owen, M., Wu, S., Brittain, M. W., Das, A., Kochenderfer, M. J. 2022

    View details for DOI 10.2514/6.2022-3824

  • Prioritizing emergency evacuations under compounding levels of uncertainty IEEE Global Humanitarian Technology Conference (GHTC) Einstein, L. J., Moss, R. J., Kochenderfer, M. J. 2022

    View details for DOI 10.1109/GHTC55712.2022.9910611

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

    View details for DOI 10.1109/ITSC55140.2022.9921831

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

    View details for DOI 10.1109/IROS47612.2022.9982278

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

    View details for DOI 10.1109/IROS47612.2022.9981271

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

    View details for DOI 10.1109/IROS47612.2022.9981323

  • Verification of image-based neural network controllers using generative models Journal of Aerospace Information Systems Katz, S. M., Corso, A. L., Strong, C. A., Kochenderfer, M. J. 2022; 19 (9): 574-584

    View details for DOI 10.2514/1.I011071

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

    View details for DOI 10.1109/IROS47612.2022.9982287

  • A sequential decision-making framework with uncertainty quantification for groundwater management Advances in Water Resources Wang, Y., Zechner, M., Mern, J. M., Kochenderfer, M. J., Caers, J. K. 2022; 166

    View details for DOI 10.1016/j.advwatres.2022.104266

  • Hierarchical planning for dynamic resource allocation in smart and connected communities ACM Transactions on Cyber-Physical Systems Pettet, G., Mukhopadhyay, A., Kochenderfer, M. J., Dubey, A. 2022

    View details for DOI 10.1145/3502869

  • Optimal pointing sequences in spacecraft formation flying usingonline planning with resource constraints Conference on Learning for Dynamics and Control (L4DC) Low, S. Y., Kochenderfer, M. J. 2022
  • Scalable online planning for multi-agent MDPs, Journal of Artificial Intelligence Research Choudhury, S., Gupta, J. K., Morales, P., Kochenderfer, M. J. 2022; 73: 821-846

    View details for DOI 10.1613/jair.1.13261

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

    View details for DOI 10.1109/ICRA46639.2022.9812285

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

    View details for DOI 10.1109/ICRA46639.2022.9812389

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

    View details for DOI 10.1109/IROS47612.2022.9981724

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

    View details for DOI 10.1109/ICRA46639.2022.9811774

  • Coordinated multi-agent path finding for drones and trucks over road networks International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Choudhury, S., Solovey, K., Kochenderfer, M. J., Pavone, M. 2022
  • Agent-time attention for sparse rewards multi-agent reinforcement learning International Conference on Autonomous Agents and Multiagent Systems (AAMAS) She, J., Gupta, J. K., Kochenderfer, M. J. 2022
  • Recursive reasoning graph for multi-agent reinforcement learning AAAI Conference on Artificial Intelligence (AAAI) Ma, X., Isele, D., Gupta, J. K., Fujimura, K., Kochenderfer, M. J. 2022
  • A review of incident prediction, resource allocation, and dispatch models for emergency management Accident Analysis and Prevention Mukhopadhyay, A., Pettet, G., Vazirizade, S. M., Lu, D., Jaimes, A., El Said, S., Baroud, H., Vorobeychik, Y., Kochenderfer, M. J., Dubey, A. 2022; 165

    View details for DOI 10.1016/j.aap.2021.106501

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

    View details for DOI 10.1007/978-3-031-06773-0_16

  • Portfolio construction as linearly constrained separable optimization Optimization and Engineering Moehle, N., Gindi, J., Boyd, S., Kochenderfer, M. J. 2022

    View details for DOI 10.1007/s11081-022-09748-x

  • Improving automated driving through POMDP planning with human internal states IEEE Transactions on Intelligent Transportation Systems Sunberg, Z. N., Kochenderfer, M. J. 2022; 23 (11): 20073-20083

    View details for DOI 10.1109/TITS.2022.3182687

  • OVERT: An algorithm for safety verification of neural network control policies for nonlinear systems Journal of Machine Learning Research Sidrane, C., Maleki, A., Irfan, A., Kochenderfer, M. J. 2022; 23 (117): 1-45
  • Deep implicit coordination graphs for multi-agent reinforcement learning International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Li, S., Gupta, J. K., Morales, P., Allen, R., Kochenderfer, M. J. 2021
  • Reluplex: a calculus for reasoning about deep neural networks Formal Methods in System Design Katz, G., Barrett, C., Dill, D. L., Julian, K. D., Kochenderfer, M. J. 2021

    View details for DOI 10.1007/s10703-021-00363-7

  • Comparison of machine learning approaches to improve diagnosis of optic neuropathy using photopic negative response measured using a handheld device Frontiers in Medicine Diao, T., Kushzad, F., Patel, M. D., Bindiganavale, M. P., Wasi, M., Kochenderfer, M. J., Moss, H. E. 2021; 8

    View details for DOI 10.3389/fmed.2021.771713

  • Evidential softmax for sparse multimodal distributions in deep generative models Advances in Neural Information Processing Systems (NeurIPS) Chen, P., Itkina, M., Senanayake, R., Kochenderfer, M. J. 2021
  • Dynamic multi-robot task allocation under uncertainty and temporal constraints Autonomous Robots Choudhury, S., Gupta, J. K., Kochenderfer, M. J., Sadigh, D., Bohg, J. 2021

    View details for DOI 10.1007/s10514-021-10022-9

  • Multimodal sensing and intuitive steering assistance improve navigation and mobility for people with impaired vision Science Robotics Slade, P., Tambe, A., Kochenderfer, M. J. 2021; 6 (59): 1-13

    View details for DOI 10.1126/scirobotics.abg6594

  • Dyadic sex composition and task classification using fNIRS hyperscanning data IEEE International Conference on Machine Learning and Applications Kruse, L., Reiss, A., Kochenderfer, M. J., Balters, S. 2021
  • Attention augmented ConvLSTM for environment prediction IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Lange, B., Itkina, M., Kochenderfer, M. J. 2021

    View details for DOI 10.1109/IROS51168.2021.9636386

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

    View details for DOI 10.1109/IROS51168.2021.9636019

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

    View details for DOI 10.1109/IROS51168.2021.9636072

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

    View details for DOI 10.1109/TITS.2021.3119415

  • Sensing leg movement enhances wearable monitoring of energy expenditure Nature Communications Slade, P., Kochenderfer, M. J., Delp, S. L., Collins, S. H. 2021; 12 (4312)

    View details for DOI 10.1038/s41467-021-24173-x

  • Explaining COVID-19 outbreaks with reactive SEIRD models Scientific Reports Menda, K., Laird, L., Kochenderfer, M. J., Caceres, R. S. 2021; 11 (17905)

    View details for DOI 10.1038/s41598-021-97260-0

  • Tax-aware portfolio construction via convex optimization Journal of Optimization Theory and Applications Moehle, N., Kochenderfer, M. J., Boyd, S., Ang, A. 2021; 189: 364-383

    View details for DOI 10.1007/s10957-021-01823-0

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

    View details for DOI 10.1109/ICRA48506.2021.9562006

  • Verification of image-based neural network controllers using generative model Digital Avionics Systems Conference (DASC) Katz, S. M., Corso, A. L., Strong, C. A., Kochenderfer, M. J. 2021

    View details for DOI 10.1109/DASC52595.2021.9594360

  • Efficient large-scale multi-drone delivery using transit networks Journal of Artificial Intelligence Research Choudhury, S., Solovey, K., Kochenderfer, M. J., Pavone, M. 2021; 70: 757-788

    View details for DOI 10.1613/jair.1.12450

  • Parameter-conditioned sequential generative modeling of fluid flows AIAA Journal Morton, J., Witherden, F. D., Kochenderfer, M. J. 2021; 59 (3): 825-841

    View details for DOI 10.2514/1.J059315

  • Reachability analysis for neural network aircraft collision avoidance systems Journal of Guidance, Control, and Dynamics Julian, K. D., Kochenderfer, M. J. 2021; 44 (6): 1132-1142

    View details for DOI 10.2514/1.G005233

  • A maximum independent set method for scheduling earth observing satellite constellations Journal of Spacecraft and Rockets Eddy, D., Kochenderfer, M. J. 2021; 58 (5): 1416-1429

    View details for DOI 10.2514/1.A34931

  • Scalable anytime planning for multi-agent MDPs International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Choudhury, S., Gupta, J., Morales, P., Kochenderfer, M. J. 2021
  • Hierarchical planning for resource allocation in emergency response systems ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) Pettet, G., Mukhopadhyay, A., Kochenderfer, M. J., Dubey, A. 2021
  • Double-prong ConvLSTM for spatiotemporal occupancy prediction in dynamic environments IEEE International Conference on Robotics and Automation (ICRA) Toyungyernsub, M., Itkina, M., Senanayake, R., Kochenderfer, M. J. 2021

    View details for DOI 10.1109/ICRA48506.2021.9561940

  • Transfer learning for efficient iterative safety validation AAAI Conference on Artificial Intelligence (AAAI) Corso, A., Kochenderfer, M. J., et al 2021
  • Improved POMDP tree search planning with prioritized action branching AAAI Conference on Artificial Intelligence (AAAI) Mern, J., Yildiz, A., Bush, L., Mukerji, T., Kochenderfer, M. J. 2021
  • Bayesian optimized Monte Carlo planning AAAI Conference on Artificial Intelligence (AAAI) Mern, J., Yildiz, A., Sunberg, Z., Mukerji, T., Kochenderfer, M. J. 2021
  • Obstacle avoidance using a monocular camera AIAA Science and Technology Forum (SciTech) Hatch, K., Mern, J., Kochenderfer, M. J. 2021

    View details for DOI 10.2514/6.2021-0269

  • Out-of-distribution detection for automotive perception IEEE International Conference on Intelligent Transportation Systems (ITSC) Nitsch, J., Itkina, M., Senanayake, R., Nieto, J., Schmidt, M., Siegwart, R., Kochenderfer, M. J. 2021
  • A survey of algorithms for black-box safety validation of cyber-physical systems Journal of Artificial Intelligence Research Corso, A., Moss, R. J., Koren, M., Lee, R., Kochenderfer, M. J. 2021; 72: 377–428

    View details for DOI 10.1613/jair.1.12716

  • Algorithms for verifying deep neural networks Foundations and Trends in Optimization Liu, C., Arnon, T., Lazarus, C., Strong, C., Barrett, C., Kochenderfer, M. J. 2021; 4 (3-4): 244--404

    View details for DOI 10.1561/2400000035

  • Normalizing flow model for policy representation in continuous action multi-agent systems International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Ma, X., Gupta, J. K., Kochenderfer, M. J. 2020
  • Optimal sequential task assignment and path finding for multi-agent robotic assembly planning IEEE International Conference on Robotics and Automation (ICRA) Brown, K., Peltzer, O., Sehr, M. A., Schwager, M., Kochenderfer, M. J. 2020

    View details for DOI 10.1109/ICRA40945.2020.9197527

  • Multi-agent adversarial inverse reinforcement learning with latent variables International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Gruver, N., Song, J., Kochenderfer, M. J., Ermon, S. 2020
  • On algorithmic decision procedures in emergency response systems in smart and connected communities International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Pettet, G., Mukhopadhyay, A., Kochenderfer, M. J., Vorobeychik, Y., Dubey, A. 2020
  • Model primitives for hierarchical lifelong reinforcement learning Autonomous Agents and Multi-Agent Systems Wu, B., Gupta, J. K., Kochenderfer, M. J. 2020; 34

    View details for DOI 10.1007/s10458-020-09451-0

  • Online parameter estimation for human driver behavior prediction American Control Conference (ACC) Bhattacharyya, R. P., Senanayake, R., Brown, K., Kochenderfer, M. J. 2020

    View details for DOI 10.23919/ACC45564.2020.9147924

  • Exchangeable input representations for reinforcement learning American Control Conference (ACC) Mern, J., Sadigh, D., Kochenderfer, M. J. 2020

    View details for DOI 10.23919/ACC45564.2020.9147901

  • Combining planning and deep reinforcement learning in tactical decision making for autonomous driving IEEE Transactions on Intelligent Vehicles Hoel, C., Driggs-Campbell, K., Wolff, K., Laine, L., Kochenderfer, M. J. 2020; 5 (2): 294-305

    View details for DOI 10.1109/TIV.2019.2955905

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

    View details for DOI 10.1609/aaai.v34i06.6563

  • Markov decision processes for multi-objective satellite task planning IEEE Aerospace Conference Eddy, D., Kochenderfer, M. J. 2020

    View details for DOI 10.1109/AERO47225.2020.9172258

  • Adaptive stress testing: finding likely failure events with reinforcement learning Journal of Artificial Intelligence Research Lee, R., Mengshoel, O. J., Saksena, A., Gardner, R. W., Genin, D., Silbermann, J., Owen, M., Kochenderfer, M. J. 2020; 69: 1165-1201
  • Robust spatial-temporal incident prediction Conference on Uncertainty in Artificial Intelligence (UAI) Mukhopadhyay, A., Wang, K., Perrault, A., Kochenderfer, M. J., Tambe, M., Vorobeychik, Y. 2020
  • Normalizing flow policies for multi-agent systems Conference on Decision and Game Theory for Security (GameSec) Ma, X., Gupta, J. K., Kochenderfer, M. J. 2020

    View details for DOI 10.1007/978-3-030-64793-3_15

  • Provably efficient reward-agnostic navigation with linear value iteration Advances in Neural Information Processing Systems (NeurIPS) Zanette, A., Lazaric, A., Kochenderfer, M. J., Brunskill, E. 2020
  • Handling missing data with graph representation learning Advances in Neural Information Processing Systems (NeurIPS) You, J., Ma, X., Ding, D., Kochenderfer, M. J., Leskovec, J. 2020
  • Evidential sparsification of multimodal latent spaces in conditional variational autoencoders Advances in Neural Information Processing Systems (NeurIPS) Itkina, M., Ivanovic, B., Senanayake, R., Kochenderfer, M. J., Pavone, M. 2020
  • Learning near optimal policies with low inherent Bellman error International Conference on Machine Learning (ICML) Zanette, A., Lazaric, A., Kochenderfer, M. J., Brunskill, E. 2020
  • Scalable identification of partially observed systems with certainty-equivalent EM International Conference on Machine Learning (ICML) Menda, K., de Becdelievre, J., Gupta, J. K., Kroo, I., Kochenderfer, M. J., Manchester, Z. 2020
  • Efficient large-scale multi-drone delivery using transit networks IEEE International Conference on Robotics and Automation (ICRA) Choudhury, S., Solovey, K., Kochenderfer, M. J., Pavone, M. 2020

    View details for DOI 10.1109/ICRA40945.2020.9197313

  • Adaptive stress testing without domain heuristics using go-explore Koren, M., Kochenderfer, M. J. 2020

    View details for DOI 10.1109/ITSC45102.2020.9294729

  • Interpretable safety validation for autonomous vehicles IEEE International Conference on Intelligent Transportation Systems (ITSC) Corso, A., Kochenderfer, M. J. 2020

    View details for DOI 10.1109/ITSC45102.2020.9294490

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

    View details for DOI 10.1109/ITSC45102.2020.9294636

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

    View details for DOI 10.1109/ITSC45102.2020.9294338

  • Validation of image-based neural network controllers through adaptive stress testing Julian, K. D., Lee, R., Kochenderfer, M. J. 2020

    View details for DOI 10.1109/ITSC45102.2020.9294549

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

    View details for DOI 10.1109/ITSC45102.2020.9294288

  • Dynamic multi-robot task allocation under uncertainty and temporal constraints Robotics: Science and Systems Choudhury, S., Gupta, J. K., Kochenderfer, M. J., Sadigh, D., Bohg, J. 2020
  • Active preference-based Gaussian process regression for reward learning Robotics: Science and Systems Biyik, E., Huynh, N., Kochenderfer, M. J., Sadigh, D. 2020
  • Structured mechanical models for robot learning and control Conference on Learning for Dynamics and Control Gupta, J. K., Menda, K., Manchester, Z., Kochenderfer, M. J. 2020
  • Image-based guidance of autonomous aircraft for wildfire surveillance and predictions Digital Avionics Systems Conference (DASC) Julian, K. D., Kochenderfer, M. J. 2020

    View details for DOI 10.1109/DASC50938.2020.9256602

  • Runtime safety assurance using reinforcement learning Digital Avionics Systems Conference (DASC) Lazarus, C., Lopez, J. G., Kochenderfer, M. J. 2020

    View details for DOI 10.1109/DASC50938.2020.9256446

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

    View details for DOI 10.1109/DASC50938.2020.9256730

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

    View details for DOI 10.1109/DASC50938.2020.9256616

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

    View details for DOI 10.2514/6.2020-2907

  • Adaptive informative path planning with multimodal sensing International Conference on Automated Planning and Scheduling (ICAPS) Gruver, N., Choudhury, S., Kochenderfer, M. J. 2020
  • Reinforcement learning for adaptive illumination with x-rays IEEE International Conference on Robotics and Automation (ICRA) Betterton, J., Kochenderfer, M. J., Ratner, D., Webb, S. 2020

    View details for DOI 10.1109/ICRA40945.2020.9196614

  • Algorithms for Optimization Kochenderfer, M. J., Wheeler, T. A. MIT Press. 2019
  • Optimizing collision avoidance in dense airspace using deep reinforcement learning Air Traffic Management Research and Development Seminar Li, S., Egorov, M., Kochenderfer, M. J. 2019
  • Estimation and control using sampling-based Bayesian reinforcement learning IET Cyber-Physical Systems: Theory & Applications Slade, P., Sunberg, Z. N., Kochenderfer, M. J. 2019; 5 (1): 127-135

    View details for DOI 10.1049/iet-cps.2019.0045

  • Efficient autonomy validation in simulation with adaptive stress testing IEEE International Conference on Intelligent Transportation Systems (ITSC) Koren, M., Kochenderfer, M. J. 2019

    View details for DOI 10.1109/ITSC.2019.8917403

  • Predicting subjective sleep quality using recurrent neural networks IEEE Signal Processing in Medicine and Biology Symposium Boussard, J., Kochenderfer, M. J., Zeitzer, J. M. 2019
  • Almost horizon-free structure-aware best policy identification with a generative model Advances in Neural Information Processing Systems (NeurIPS) Zanette, A., Kochenderfer, M. J., Brunskill, E. 2019
  • Limiting extrapolation in linear approximate value iteration Advances in Neural Information Processing Systems (NeurIPS) Zanette, A., Lazaric, A., Kochenderfer, M. J., Brunskill, E. 2019
  • Stochastic model predictive control for scheduling charging of electric vehicle fleets with market power IEEE International Conference on Connected Vehicles and Expo (ICCVE) Jamgochian, A. L., Kochenderfer, M. J. 2019

    View details for DOI 10.1109/ICCVE45908.2019.8965237

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

    View details for DOI 10.1109/ITSC.2019.8917271

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

    View details for DOI 10.1109/ITSC.2019.8917242

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

    View details for DOI 10.1109/ITSC.2019.8916924

  • Towards closing the loop on human values IEEE Transactions on Intelligent Vehicles Thornton, S. M., Limonchik, B., Lewis, F. E., Kochenderfer, M. J., Gerdes, J. C. 2019; 4 (3): 437-446

    View details for DOI 10.1109/TIV.2019.2919471

  • The Marabou framework for verication and analysis of deep neural networks International Conference on Computer-Aided Verification (CAV) Katz, G., Huang, D. A., Ibeling, D., Julian, K., Lazarus, C., Lim, R., Shah, P., Thakoor, S., Wu, H., Zeljic, A., Dill, D. L., Kochenderfer, M. J., Barrett, C. 2019
  • Monte Carlo tree search for policy optimization International Joint Conference on Artificial Intelligence (IJCAI) Ma, X., Driggs-Campbell, K., Zhang, Z., Kochenderfer, M. J. 2019
  • Deep variational Koopman models: Inferring Koopman observations for uncertainty-aware dynamics modeling and control International Joint Conference on Artificial Intelligence (IJCAI) Morton, J., Witherden, F. D., Kochenderfer, M. J. 2019
  • Unifying system health management and automated decision making Journal of Artificial Intelligence Research Balaban, E., Johnson, S. B., Kochenderfer, M. J. 2019; 65: 487-518

    View details for DOI 10.1613/jair.1.11366

  • Decomposition methods with deep corrections for reinforcement learning Autonomous Agents and Multi-Agent Systems Bouton, M., Julian, K. D., Nakhaei, A., Fujimura, K., Kochenderfer, M. J. 2019; 33 (3): 330-352

    View details for DOI 10.1007/s10458-019-09407-z

  • Safe reinforcement learning with scene decomposition for navigating complex urban environments IEEE Intelligent Vehicles Symposium (IV) Bouton, M., Nakhaei, A., Fujimura, K., Kochenderfer, M. J. 2019

    View details for DOI 10.1109/IVS.2019.8813803

  • Pedestrian collision avoidance system for scenarios with occlusions IEEE Intelligent Vehicles Symposium (IV) Schratter, M., Bouton, M., Kochenderfer, M. J., Watzenig, D. 2019

    View details for DOI 10.1109/IVS.2019.8814076

  • Dynamic real-time multimodal routing with hierarchical hybrid planning IEEE Intelligent Vehicles Symposium (IV) Choudhury, S., Kochenderfer, M. J. 2019

    View details for DOI 10.1109/IVS.2019.8814018

  • Critical factor graph situation clusters for accelerated automotive safety validation IEEE Intelligent Vehicles Symposium (IV) Wheeler, T. A., Kochenderfer, M. J. 2019

    View details for DOI 10.1109/IVS.2019.8813845

  • Learning an urban air mobility encounter model from expert preferences Digital Avionics Systems Conference (DASC) Katz, S. M., LeBihan, A., Kochenderfer, M. J. 2019
  • Optimal aircraft metering during space launches Digital Avionics Systems Conference (DASC) Tompa, R. E., Kochenderfer, M. J. 2019
  • Learning terminal airspace traffic models from flight tracks and procedures Digital Avionics Systems Conference (DASC) Jung, S., Kochenderfer, M. J. 2019
  • Guaranteeing safety for neural network-based aircraft collision avoidance systems Digital Avionics Systems Conference (DASC) Julian, K. D., Kochenderfer, M. J. 2019
  • Efficient aircraft rerouting during commercial space launches New Space Tompa, R. E., Kochenderfer, M. J. 2019; 7 (1): 12-18

    View details for DOI 10.1089/space.2018.0032

  • Distributed wildfire surveillance with autonomous aircraft using deep reinforcement learning Journal of Guidance, Control, and Dynamics Julian, K. D., Kochenderfer, M. J. 2019; 42 (8): 1768-1778

    View details for DOI 10.2514/1.G004106

  • Adaptive stress testing of safety-critical systems Safe, Autonomous and Intelligent Vehicles Lee, R., Mengshoel, O. J., Kochenderfer, M. J. edited by Yu, H., Li, X., Murray, R., Ramesh, S., Tomlin, C. J. Springer. 2019

    View details for DOI 10.1007/978-3-319-97301-2_5

  • Object exchangability in reinforcement learning International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Mern, J., Sadigh, D., Kochenderfer, M. J. 2019
  • Model primitive hierarchical lifelong reinforcement learning International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Wu, B., Gupta, J. K., Kochenderfer, M. J. 2019
  • Hunting drones with other drones: Tracking a moving radio target IEEE International Conference on Robotics and Automation (ICRA) Dressel, L., Kochenderfer, M. J. 2019

    View details for DOI 10.1109/ICRA.2019.8794243

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

    View details for DOI 10.1109/ICRA.2019.8793750

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

    View details for DOI 10.1109/ICRA.2019.8793698

  • Rapid energy expenditure estimation for assisted and inclined loaded walking Journal of NeuroEngineering and Rehabilitation Slade, P., Troutman, R., Kochenderfer, M. J., Collins, S. H., Delp, S. L. 2019; 16 (67): 1-10
  • Visual depth mapping from monocular images using recurrent convolutional neural networks AIAA Science and Technology Forum (SciTech) Mern, J., Julian, K. D., Tompa, R. E., Kochenderfer, M. J. 2019

    View details for DOI 10.2514/6.2019-1189

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

    View details for DOI 10.1109/IROS40897.2019.8968287

  • Deep reinforcement learning for event-driven multi-agent decision processes IEEE Transactions on Intelligent Transportation Systems Menda, K., Chen, Y., Grana, J., Bono, J. W., Tracey, B. D., Kochenderfer, M. J., Wolpert, D. H. 2019; 20 (4): 1259-1268

    View details for DOI 10.1109/TITS.2018.2848264

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

    View details for DOI 10.2514/6.2019-1454

  • Deep neural network compression for aircraft collision avoidance systems Journal of Guidance, Control, and Dynamics Julian, K. D., Kochenderfer, M. J., Owen, M. P. 2019; 42 (3): 598-608

    View details for DOI 10.2514/1.G003724

  • Tutorial on the generation of ergodic trajectories with projection-based gradient descent IET Cyber-Physical Systems: Theory and Applications Dressel, L., Kochenderfer, M. J. 2019; 4 (2): 89-100

    View details for DOI 10.1049/iet-cps.2018.5032

  • Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning Journal of Computational Physics Carlberg, K. T., Jameson, A., Kochenderfer, M. J., Morton, J., Peng, L., Witherden, F. D. 2019; 395: 105-124

    View details for DOI 10.1016/j.jcp.2019.05.041

  • Learning probabilistic trajectory models of aircraft in terminal airspace from position data IEEE Transactions on Intelligent Transportation Systems Barratt, S. T., Kochenderfer, M. J., Boyd, S. P. 2019; 20 (9): 3536-3545

    View details for DOI 10.1109/TITS.2018.2877572

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

    View details for DOI 10.1109/IVS.2018.8500450

  • Decision-theoretic planning in partially observable environments Interactions in Multiagent Systems Zhang, Z., Kochenderfer, M. J. edited by Hao, J., Leung, H. World Scientific. 2018: 65–90

    View details for DOI 10.1142/9789813208742_0004

  • Robust super-level set estimation using Gaussian processes European Conference on Machine Learning (ECML) Zannette, A., Zhang, J., Kochenderfer, M. J. 2018

    View details for DOI 10.1007/978-3-030-10928-8_17

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

    View details for DOI 10.5555/3237383.3237858

  • Optimal aircraft rerouting during space launches using adaptive spatial discretization Digital Avionics Systems Conference (DASC) Tompa, R. E., Kochenderfer, M. J. 2018

    View details for DOI 10.1109/DASC.2018.8569888

  • Online algorithms for POMDPs with continuous state, action, and observation spaces International Conference on Automated Planning and Scheduling (ICAPS) Sunberg, Z. N., Kochenderfer, M. J. 2018
  • Closed-loop planning for disaster evacuation with stochastic arrivals IEEE International Conference on Intelligent Transportation Systems (ITSC) Sidrane, C. R., Kochenderfer, M. J. 2018

    View details for DOI 10.1109/ITSC.2018.8569957

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

    View details for DOI 10.1109/IROS.2018.8594395

  • Value sensitive design for autonomous vehicle motion planning IEEE Intelligent Vehicles Symposium (IV) Thornton, S., Lewis, F. E., Zhang, V., Kochenderfer, M. J., Gerdes, J. C. 2018

    View details for DOI 10.1109/IVS.2018.8500441

  • Exploiting hierarchy for scalable decision making in autonomous driving IEEE Intelligent Vehicles Symposium (IV) Sonu, E., Sunberg, Z. N., Kochenderfer, M. J. 2018

    View details for DOI 10.1109/IVS.2018.8500681

  • Amortized inference regularization Advances in Neural Information Processing Systems (NeurIPS) Shu, R., Bui, H. H., Zhao, S., Kochenderfer, M. J., Ermon, S. 2018
  • Deep dynamical modeling and control of unsteady fluid flows Advances in Neural Information Processing Systems (NeurIPS) Morton, J., Witherden, F. D., Jameson, A., Kochenderfer, M. J. 2018
  • Analytically modeling unmanaged intersections with microscopic vehicle interactions IEEE International Conference on Intelligent Transportation Systems (ITSC) Liu, C., Kochenderfer, M. J. 2018

    View details for DOI 10.1109/ITSC.2018.8569825

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

    View details for DOI 10.5555/3237383.3237856

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

    View details for DOI 10.2514/6.2018-1923

  • Interpretable categorization of heterogeneous time series data SIAM International Conference on Data Mining Lee, R., Kochenderfer, M. J., Mengshoel, O. J., Silbermann, J. 2018

    View details for DOI 10.1137/1.9781611975321.25

  • Adaptive stress testing for autonomous vehicles IEEE Intelligent Vehicles Symposium (IV) Koren, M., Alsaif, S., Lee, R., Kochenderfer, M. J. 2018

    View details for DOI 10.1109/IVS.2018.8500400

  • Autonomous distributed wildfire surveillance using deep reinforcement learning AIAA Guidance, Navigation, and Control Conference (GNC) Julian, K. D., Kochenderfer, M. J. 2018

    View details for DOI 10.2514/6.2018-1589

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

    View details for DOI 10.1109/ICRA.2018.8460734

  • Using neural networks to generate information maps for mobile sensors IEEE Conference on Decision and Control (CDC) Dressel, L., Kochenderfer, M. J. 2018

    View details for DOI 10.1109/CDC.2018.8619820

  • On the optimality of ergodic trajectories for information gathering tasks American Control Conference (ACC) Dressel, L., Kochenderfer, M. J. 2018

    View details for DOI 10.23919/ACC.2018.8430857

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

    View details for DOI 10.2514/6.2018-1845

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

    View details for DOI 10.1109/IROS.2018.8594418

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

    View details for DOI 10.1109/ICRA.2018.8460914

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

    View details for DOI 10.5555/3237383.3237453

  • Horizontal maneuver coordination for aircraft collision-avoidance systems Journal of Aerospace Information Systems Tompa, R. E., Wulfe, B., Kochenderfer, M. J. 2018; 15 (2): 92-106

    View details for DOI 10.2514/1.I010576

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

    View details for DOI 10.5555/3237383.3237908

  • Toward scalable verification for safety-critical deep networks SysML Kuper, L., Katz, G., Gottshlich, J., Julian, K. D., Barrett, C., Kochenderfer, M. J. 2018
  • Multi-agent imitation learning for driving simulation IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Bhattacharyya, R., Phillips, D. J., Wulfe, B., Morton, J., Kuefler, A., Kochenderfer, M. J. 2018

    View details for DOI 10.1109/IROS.2018.8593758

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

    View details for DOI 10.1109/IROS.2018.8594511

  • Closed-loop policies for operational tests of safety-critical systems IEEE Transactions on Intelligent Transportation Systems Morton, J., Wheeler, T. A., Kochenderfer, M. J. 2018; 3 (3): 317-328

    View details for DOI 10.1109/TIV.2018.2843128

  • A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems European Journal of Operational Research Bertsimas, D., Griffith, J., Gupta, V., Kochenderfer, M. J., Misic, V. V. 2017; 263 (2): 664-678

    View details for DOI 10.1016/j.ejor.2017.05.032

  • Weighted double Q-learning International Joint Conference on Artificial Intelligence (IJCAI) Zhang, Z., Pan, Z., Kochenderfer, M. J. 2017

    View details for DOI 10.24963/ijcai.2017/483

  • Deep stochastic radar models IEEE Intelligent Vehicles Symposium (IV) Wheeler, T. A., Holder, M. F., Winner, H., Kochenderfer, M. J. 2017

    View details for DOI 10.1109/IVS.2017.7995697

  • The value of inferring the internal state of traffic participants for autonomous freeway driving American Control Conference (ACC) Sunberg, Z. N., Ho, C., Kochenderfer, M. J. 2017

    View details for DOI 10.23919/ACC.2017.7963408

  • Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Slade, P., Culbertson, P., Sunberg, Z. N., Kochenderfer, M. J. 2017
  • Generalizable intention prediction of human drivers at intersections IEEE Intelligent Vehicles Symposium (IV) Phillips, D. J., Wheeler, T. A., Kochenderfer, M. J. 2017

    View details for DOI 10.1109/IVS.2017.7995948

  • Markov decision process-based distributed conflict resolution for drone air traffic management Journal of Guidance, Control, and Dynamics Ong, H., Kochenderfer, M. J. 2017; 40 (1): 69-80

    View details for DOI 10.2514/1.G001822

  • Analysis of recurrent neural networks for probabilistic modeling of driver behavior IEEE Transactions on Intelligent Transportation Systems Morton, J., Wheeler, T. A., Kochenderfer, M. J. 2017; 18 (5): 1289-1298

    View details for DOI 10.1109/TITS.2016.2603007

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

    View details for DOI 10.1109/ITSC.2017.8317738

  • Learning traffic patterns at small airports from flight tracks IEEE Transactions on Intelligent Transportation Systems Mahboubi, Z., Kochenderfer, M. J. 2017; 18 (4): 917-926

    View details for DOI 10.1109/TITS.2016.2598064

  • Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures IEEE Symposium Series on Computational Intelligence Mern, J., Gupta, J. K., Kochenderfer, M. J. 2017

    View details for DOI 10.1109/SSCI.2017.8285202

  • Imitating driver behavior with generative adversarial networks IEEE Intelligent Vehicles Symposium (IV) Kuefler, A., Morton, J., Wheeler, T. A., Kochenderfer, M. J. 2017

    View details for DOI 10.1109/IVS.2017.7995721

  • Geometric concept acquisition in a dueling deep Q-network Annual Meeting of the Cognitive Science Society Kuefler, A., Kochenderfer, M. J., McClelland, J. L. 2017
  • Burn-in demonstrations for multi-modal imitation learning Conference on Robotic Learning Kuefler, A., Kochenderfer, M. J. 2017
  • Heuristics for planning with rare catastrophic events Winter Simulation Conference Kim, Y., Gur, Y., Kochenderfer, M. J. 2017

    View details for DOI 10.1109/WSC.2017.8248024

  • Reluplex: An efficient SMT solver for verifying deep neural networks International Conference on Computer-Aided Verification Katz, G., Barrett, C., Dill, D. L., Julian, K. D., Kochenderfer, M. J. 2017
  • Neural network guidance for UAVs AIAA Guidance, Navigation, and Control Conference (GNC) Julian, K. D., Kochenderfer, M. J. 2017

    View details for DOI 10.2514/6.2017-1743

  • Belief State Planning for Autonomously Navigating Urban Intersections IEEE Intelligent Vehicles Symposium (IV) Bouton, M., Cosgun, A., Kochenderfer, M. J. 2017

    View details for DOI 10.1109/IVS.2017.7995818

  • Automated Dynamic Resource Allocation for Wildfire Suppression Lincoln Laboratory Journal Griffith, J., Kochenderfer, M. J., Moss, R. J., Misic, V. V., Gupta, V., Bertsimas, D. 2017; 22 (2): 38-59
  • POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty Journal of Machine Learning Research Egorov, M., Sunberg, Z. N., Balaban, E., Wheeler, T. A., Gupta, J. K., Kochenderfer, M. J. 2017; 18 (26): 1-5
  • Efficient Decision-Theoretic Target Localization International Conference on Automated Planning and Scheduling (ICAPS) Dressel, L., Kochenderfer, M. J. 2017
  • Learning Discrete Bayesian Networks from Continuous Data Journal of Artificial Intelligence Research Chen, Y., Wheeler, T. A., Kochenderfer, M. J. 2017; 59: 103-132

    View details for DOI 10.1613/jair.5371

  • Probabilistic Airport Acceptance Rate Prediction AIAA Modeling and Simulation Conference Cox, J., Kochenderfer, M. J. 2016

    View details for DOI 10.2514/6.2016-0165

  • Detection of hypervelocity impact radio frequency pulses through prior constrained source separation Radio Science Nuttall, A., Kochenderfer, M., Close, S. 2016; 51

    View details for DOI 10.1002/2016RS006108

  • Multi-Rotor Aircraft Collision Avoidance using Partially Observable Markov Decision Processes AIAA Modeling and Simulation Conference Mueller, E., Kochenderfer, M. J. AIAA. 2016

    View details for DOI 10.2514/6.2016-3673

  • Stochastic Video Prediction with Conditional Density Estimation Workshop on Action and Anticipation for Visual Learning Shu, R., Brofos, J., Zhang, F., Bui, H., Ghavamzadeh, M., Kochenderfer, M. 2016
  • Simulation Comparison of Collision Avoidance Algorithms for Small Multi-Rotor Aircraft AIAA Modeling and Simulation Conference Mueller, E., Kochenderfer, M. J. AIAA. 2016

    View details for DOI 10.2514/6.2016-3674

  • Policy Compression for Aircraft Collision Avoidance Systems Digital Avionics Systems Conference Julian, K., Lopez, J., Brush, J. S., Owen, M., Kochenderfer, M. J. IEEE. 2016
  • Analysis of Microscopic Behavior Models for Probabilistic Modeling of Driver Behavior IEEE International Conference on Intelligent Transportation Systems Wheeler, T. A., Robbel, P., Kochenderfer, M. J. IEEE. 2016
  • Factor Graph Scene Distributions for Automotive Safety Analysis IEEE International Conference on Intelligent Transportation Systems Wheeler, T. A., Kochenderfer, M. J. IEEE. 2016
  • Collision Avoidance for Unmanned Aircraft using Coordination Tables Digital Avionics Systems Conference Tompa, R. E., Wulfe, B., Owen, M., Kochenderfer, M. J. IEEE. 2016
  • Customer Simulation for Direct Marketing Experiments IEEE International Conference on Data Science and Advanced Analytics Tkachenko, Y., Kochenderfer, M. J., Kluza, K. 2016
  • Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming IEEE International Conference on Robotics and Automation Sunberg, Z., Kochenderfer, M., Pavone, M. 2016

    View details for DOI 10.1109/ICRA.2016.7487280

  • Dynamic Logic Selection for Unmanned Aircraft Separation Digital Avionics Systems Conference Owen, M. P., Kochenderfer, M. J. IEEE. 2016
  • Markov Decision Process-Based Distributed Conflict Resolution for Drone Air Traffic Management Journal of Guidance, Control, and Dynamics Ong, H., Kochenderfer, M. J. 2016

    View details for DOI 10.2514/1.G001822

  • Learning Traffic Patterns at Small Airports from Flight Tracks IEEE Transactions on Intelligent Transportation Systems Mahboubi, Z., Kochenderfer, M. J. 2016

    View details for DOI 10.1109/TITS.2016.2598064

  • Improving Aircraft Collision Risk Estimation Using the Cross-Entropy Method Journal of Air Transportation Kim, Y., Kochenderfer, M. J. 2016; 24 (2): 55-61

    View details for DOI 10.2514/1.D0020

  • Ground Delay Program Planning using Markov Decision Processes Journal of Aerospace Information Systems Cox, J., Kochenderfer, M. J. 2016; 13 (3): 134-142

    View details for DOI 10.2514/1.I010387

  • Decision-Theoretic Approach to Designing Cyber Resilient Systems IEEE International Symposium on Network Computing and Applications Mehta, V., Rowe, P., Lewis, G., Magalhaes, A., Kochenderfer, M. IEEE. 2016
  • Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior IEEE Transactions on Intelligent Transportation Systems Morton, J., Wheeler, T. A., Kochenderfer, M. J. 2016

    View details for DOI 10.1109/TITS.2016.2603007

  • Target Surveillance in Adversarial Environments using POMDPs AAAI Conference on Artificial Intelligence Egorov, M., Kochenderfer, M. J., Uudmae, J. J. 2016
  • Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs AAAI Conference on Artificial Intelligence Robbel, P., Oliehoek, F. A., Kochenderfer, M. J. 2016
  • Control of Epidemics on Graphs IEEE Conference on Decision and Control Ho, C., Kochenderfer, M. J., Mehta, V., Caceres, R. S. IEEE. 2015

    View details for DOI 10.1109/CDC.2015.7402874

  • Initial Scene Configurations for Highway Traffic Propagation IEEE International Conference on Intelligent Transportation Systems Wheeler, T. A., Robbel, P., Kochenderfer, M. J. IEEE. 2015

    View details for DOI 10.1109/ITSC.2015.55

  • Optimal Aircraft Rerouting During Commercial Space Launches Digital Avionics Systems Conference Tompa, R. E., Kochenderfer, M. J., Cole, R., Kuchar, J. K. IEEE. 2015

    View details for DOI 10.1109/DASC.2015.7311486

  • Continuous Time Autonomous Air Traffic Control for Non-Towered Airports IEEE Conference on Decision and Control Mahboubi, Z., Kochenderfer, M. J. IEEE. 2015

    View details for DOI 10.1109/CDC.2015.7402670

  • Autonomous Air Traffic Control for Non-Towered Airports Air Traffic Management Research and Development Seminar Mahboubi, Z., Kochenderfer, M. J. 2015
  • Optimizing a Collision-Avoidance System for Closely Spaced Parallel Operations Journal of Aerospace Information Systems Smith, K. A., Vela, A. E., Kochenderfer, M. J., Olson, W. A. 2015; 12 (10): 618-633

    View details for DOI 10.2514/1.I010352

  • Bayesian Preference Elicitation for Multiobjective Engineering Design Optimization Journal of Aerospace Information Systems Lepird, J. R., Owen, M. P., Kochenderfer, M. J. 2015; 12 (10): 634-645

    View details for DOI 10.2514/1.I010363

  • Stress Testing Collision Avoidance Systems using Monte Carlo Tree Search Digital Avionics Systems Conference Lee, R., Kochenderfer, M. J., Mengshoel, O. J., Brat, G. P., Owen, M. P. IEEE. 2015

    View details for DOI 10.1109/DASC.2015.7311450

  • Optimization Approaches to the Single Airport Ground Holding Problem Journal of Guidance, Control, and Dynamics Cox, J., Kochenderfer, M. J. 2015; 38 (12): 2399-2406

    View details for DOI 10.2514/1.G001081

  • A Probabilistic Framework for Microscopic Traffic Propagation IEEE International Conference on Intelligent Transportation Systems Wheeler, T. A., Robbel, P., Kochenderfer, M. J. IEEE. 2015

    View details for DOI 10.1109/ITSC.2015.52

  • Decision Making Under Uncertainty: Theory and Application Kochenderfer, M. J. MIT Press. 2015
  • Optimal Lost-Link Policies for Unmanned Aircraft Digital Avionics Systems Conference Kim, Y., Kochenderfer, M. J. IEEE. 2015

    View details for DOI 10.1109/DASC.2015.7311430

  • Signal Source Localization using Partially Observable Markov Decision Processes AIAA Infotech@Aerospace Conference, Dressel, L., Kochenderfer, M. J. 2015
  • Error Model Estimation for Airborne Beacon-Based Surveillance IET Radar, Sonar and Navigation Panken, A., Kochenderfer, M. J. 2014; 8 (6): 667-675

    View details for DOI 10.1049/iet-rsn.2013.0266

  • Vertical State Estimation for Aircraft Collision Avoidance with Quantized Measurements Journal of Guidance, Control, and Dynamics Asmar, D. M., Kochenderfer, M. J., Chryssanthacopoulos, J. P. 2013; 35 (6): 1797-1802
  • Collision Avoidance System Optimization for Closely Spaced Parallel Operations through Surrogate Modeling AIAA Guidance, Navigation, and Control Conference Smith, K., Kochenderfer, M. J., Olson, W., Vela, A. 2013
  • Decentralized Control of Partially Observable Markov Decision Processes IEEE Conference on Decision and Control Amato, C., Chowdhary, G., Geramifard, A., Ure, N. K., Kochenderfer, M. J. 2013
  • Fielding a Sense and Avoid Capability for Unmanned Aircraft Systems: Policy, Standards, Technology, and Safety Modeling Air Traffic Control Quarterly Cole, R., Kochenderfer, M. J., Weibel, R., Edwards, M., Griffith, J. D. 2013; 21 (1): 5-27
  • Traffic Alert Optimization for Airborne Collision Avoidance Systems AIAA Guidance, Navigation, and Control Conference Puntin, B., Kochenderfer, M. J. 2013
  • Compression of Optimal Value Functions for Markov Decision Processes Data Compression Conference Kochenderfer, M. J., Monath, N. 2013
  • Optimizing the Next Generation Collision Avoidance System for Safe, Suitable, and Acceptable Operational Performance Air Traffic Management Research and Development Seminar Holland, J. E., Kochenderfer, M. J., Olson, W. A. 2013
  • Decomposition Methods for Optimized Collision Avoidance with Multiple Threats Journal of Guidance, Control, and Dynamics Chryssanthacopoulos, J. P., Kochenderfer, M. J. 2012; 35 (2): 398-405
  • Predicting the Behavior of Interacting Humans by Fusing Data from Multiple Sources Conference on Uncertainty in Artificial Intelligence Schlicht, E. J., Lee, R., Wolpert, D. H., Kochenderfer, M. J., Tracey, B. 2012
  • Next Generation Airborne Collision Avoidance System Lincoln Laboratory Journal Kochenderfer, M. J., Holland, J. E., Chryssanthacopoulos, J. P. 2012; 19 (1): 17-33
  • Hazard Alerting Based on Probabilistic Models Journal of Guidance, Control, and Dynamics Chryssanthacopoulos, J. P., Kochenderfer, M. J. 2012; 35 (2): 442-450
  • Collision Avoidance for General Aviation IEEE Aerospace and Electronic Systems Magazine Billingsley, T. B., Kochenderfer, M. J., Chryssanthacopoulos, J. P. 2012; 27 (7): 4-12
  • A New Approach for Designing Safer Collision Avoidance Systems Air Traffic Control Quarterly Kochenderfer, M. J., Chryssanthacopoulos, J. P., Weibel, R. E. 2012; 20 (1): 27-45
  • Partially-Controlled Markov Decision Processes for Collision Avoidance Systems International Conference on Agents and Artificial Intelligence Kochenderfer, M. J., Chryssanthacopoulos, J. P. 2011
  • Position Validation Strategies using Partially Observable Markov Decision Processes IEEE/AIAA Digital Avionics Systems Conference Kochenderfer, M. J., Shih, K. J., Chryssanthacopoulos, J. P., Rose, C. E., Elder, T. R. 2011
  • Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs Robotics: Science and Systems Bai, H., Hsu, D., Kochenderfer, M. J., Lee, W. S. 2011
  • Analysis of Open-loop and Closed-loop Planning for Aircraft Collision Avoidance IEEE International Conference on Intelligent Transportation Systems Chryssanthacopoulos, J. P., Kochenderfer, M. J. 2011
  • Accounting for State Uncertainty in Collision Avoidance Journal of Guidance, Control, and Dynamics Chryssanthacopoulos, J. P., Kochenderfer, M. J. 2011; 34 (4): 951-960

    View details for DOI 10.2514/1.53172

  • Collision Avoidance System Optimization with Probabilistic Pilot Response Models American Control Conference Chryssanthacopoulos, J. P., Kochenderfer, M. J. 2011
  • Aircraft Collision Avoidance using Monte Carlo Real-Time Belief Space Search Journal of Intelligent and Robotic Systems Wolf, T. B., Kochenderfer, M. J. 2011; 64 (2): 277-298
  • Efficiently Estimating Ambient Near Mid-Air Collision Risk for Unmanned Aircraft AIAA Aviation Technology, Integration, and Operations Conference Maki, E., Weinert, A., Kochenderfer, M. J. 2010
  • On Estimating Mid-Air Collision Risk AIAA Aviation Technology, Integration, and Operations Conference Kochenderfer, M. J., Griffith, J. D., Olszta, J. E. 2010
  • A Decision-Theoretic Approach to Developing Robust Collision Avoidance Logic IEEE International Conference on Intelligent Transportation Systems Kochenderfer, M. J., Chryssanthacopoulos, J. P. 2010
  • Collision Avoidance for Unmanned Aircraft using Markov Decision Processes AIAA Guidance, Navigation, and Control Conference Temizer, S., Kochenderfer, M. J., Kaelbling, L. P., Lozano-Perez, T. 2010
  • Improved Monte Carlo Sampling for Conflict Probability Estimation AIAA Non-Deterministic Approaches Conference Chryssanthacopoulos, J. P., Kochenderfer, M. J., Williams, R. E. 2010
  • Airspace Encounter Models for Estimating Collision Risk Journal of Guidance, Control, and Dynamics Kochenderfer, M. J., Edwards, M., Espindle, L. P., Kuchar, J. K., Griffith, J. D. 2010; 33 (2): 487-499

    View details for DOI 10.2514/1.44867

  • Robustness of Optimized Collision Avoidance Logic to Modeling Errors IEEE/AIAA Digital Avionics Systems Conference Kochenderfer, M. J., Chryssanthacopoulos, J. P., Radecki, P. 2010
  • Classification of Primary Radar Tracks using Gaussian Mixture Models IET Radar, Sonar and Navigation Espindle, L. P., Kochenderfer, M. J. 2009; 3 (6): 559-568

    View details for DOI 10.1049/iet-rsn.2008.0182

  • Hazard Alerting using Line-of-Sight Rate AIAA Guidance, Navigation, and Control Conference Kochenderfer, M. J., Griffith, J. D., Kuchar, J. K. 2008
  • A Comprehensive Aircraft Encounter Model of the National Airspace System Lincoln Laboratory Journal Kochenderfer, M. J., Espindle, L. P., Kuchar, J. K., Griffith, J. D. 2008; 17 (2): 41-53
  • Electro-Optical System Analysis for Sense and Avoid AIAA Guidance, Navigation, and Control Conference Griffith, J. D., Kochenderfer, M. J., Kuchar, J. K. 2008
  • Adaptive Modeling and Planning for Reactive Agents AAAI National Conference on Artificial Intelligence Kochenderfer, M. J. 2005
  • Common Sense Data Acquisition for Indoor Mobile Robots AAAI National Conference on Artificial Intelligence Gupta, R., Kochenderfer, M. J. 2004
  • Evolving Hierarchical and Recursive Teleo-Reactive Programs through Genetic Programming European Conference on Genetic Programming Kochenderfer, M. J. Springer. 2003
https://orcid.org/0000-0002-7238-9663