Bio


Mykel Kochenderfer is Assistant 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 the author of "Decision Making under Uncertainty: Theory and Application" and "Algorithms for Optimization", both 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)

2020-21 Courses


Stanford Advisees


All Publications


  • 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
  • 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
  • Efficient autonomy validation in simulation with adaptive stress testing IEEE International Conference on Intelligent Transportation Systems (ITSC) Koren, M., Kochenderfer, M. J. 2019
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Robust super-level set estimation using Gaussian processes European Conference on Machine Learning (ECML) Zannette, A., Zhang, J., Kochenderfer, M. J. 2018
  • 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

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

  • 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
  • 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

  • Closed-loop planning for disaster evacuation with stochastic arrivals IEEE International Conference on Intelligent Transportation Systems (ITSC) Sidrane, C. R., Kochenderfer, M. J. 2018
  • 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
  • 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

  • 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

  • Analytically modeling unmanaged intersections with microscopic vehicle interactions IEEE International Conference on Intelligent Transportation Systems (ITSC) Liu, C., Kochenderfer, M. J. 2018
  • 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
  • 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

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
  • 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

  • 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
  • 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

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

  • 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
  • Signal Source Localization using Partially Observable Markov Decision Processes AIAA Infotech@Aerospace Conference, Dressel, L., Kochenderfer, M. J. 2015
  • 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
  • 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

  • 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
  • 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
  • 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
  • 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

  • Error Model Estimation for Airborne Beacon-Based Surveillance IET Radar, Sonar and Navigation Panken, A., Kochenderfer, M. J. 2014; 8 (6): 667-675
  • 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
  • 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