| Cooperative multi-agent control using deep reinforcement learning JK Gupta, M Egorov, M Kochenderfer International Conference on Autonomous Agents and Multiagent Systems, 66-83, 2017 | 345 | 2017 |
| Model-Free Imitation Learning with Policy Optimization J Ho, JK Gupta, S Ermon International Conference on Machine Learning, 2016, 2016 | 73 | 2016 |
| POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty M Egorov, ZN Sunberg, E Balaban, TA Wheeler, JK Gupta, ... Journal of Machine Learning Research 18 (26), 1-5, 2017 | 59 | 2017 |
| Learning policy representations in multiagent systems A Grover, M Al-Shedivat, J Gupta, Y Burda, H Edwards International conference on machine learning, 1802-1811, 2018 | 39 | 2018 |
| Planit: A crowdsourcing approach for learning to plan paths from large scale preference feedback A Jain, D Das, JK Gupta, A Saxena 2015 IEEE International Conference on Robotics and Automation (ICRA), 877-884, 2015 | 26 | 2015 |
| Mtba: Matlab toolbox for biclustering analysis JK Gupta, S Singh, NK Verma IEEE workshop on computational intelligence: theories, applications and …, 2013 | 25* | 2013 |
| Smartphone application for fault recognition NK Verma, S Singh, JK Gupta, RK Sevakula, S Dixit, A Salour 2012 Sixth International Conference on Sensing Technology (ICST), 1-6, 2012 | 23 | 2012 |
| Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning RP Bhattacharyya, DJ Phillips, C Liu, JK Gupta, K Driggs-Campbell, ... International Conference on Robotics and Automation, 2019 | 14 | 2019 |
| A general framework for structured learning of mechanical systems JK Gupta, K Menda, Z Manchester, MJ Kochenderfer arXiv preprint arXiv:1902.08705, 2019 | 11 | 2019 |
| Evaluating generalization in multiagent systems using agent-interaction graphs A Grover, M Al-Shedivat, JK Gupta, Y Burda, H Edwards Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 9* | 2018 |
| Structured mechanical models for robot learning and control JK Gupta, K Menda, Z Manchester, M Kochenderfer Learning for Dynamics and Control, 328-337, 2020 | 5 | 2020 |
| Deep implicit coordination graphs for multi-agent reinforcement learning S Li, JK Gupta, P Morales, R Allen, MJ Kochenderfer arXiv preprint arXiv:2006.11438, 2020 | 4 | 2020 |
| Model primitives for hierarchical lifelong reinforcement learning B Wu, JK Gupta, M Kochenderfer Autonomous Agents and Multi-Agent Systems 34 (1), 1-38, 2020 | 4 | 2020 |
| Health-informed policy gradients for multi-agent reinforcement learning RE Allen, JW Bear, JK Gupta, MJ Kochenderfer arXiv preprint arXiv:1908.01022, 2019 | 3 | 2019 |
| Feature level analysis NK Verma, JK Gupta, S Singh, RK Sevakula, S Dixit, A Salour IEEE Workshop on Computational Intelligence: Theories, Applications and …, 2013 | 3 | 2013 |
| Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM K Menda, J De Becdelievre, J Gupta, I Kroo, M Kochenderfer, ... International Conference on Machine Learning, 6830-6840, 2020 | 1 | 2020 |
| Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints S Choudhury, JK Gupta, MJ Kochenderfer, D Sadigh, J Bohg arXiv preprint arXiv:2005.13109, 2020 | 1 | 2020 |
| Normalizing Flow Policies for Multi-agent Systems X Ma, JK Gupta, MJ Kochenderfer International Conference on Decision and Game Theory for Security, 2020 | 1 | 2020 |
| STRUCTURED MECHANICAL MODELS FOR EFFICIENT REINFORCEMENT LEARNING K Menda, JK Gupta, Z Manchester, MJ Kochenderfer Workshop on Structure and Priors in Reinforcement Learning, International …, 2019 | 1 | 2019 |
| Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures J Mern, JK Gupta, MJ Kochenderfer 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 1 | 2017 |
Mykel J. KochenderferAssociate Professor, Stanford UniversityVerified email at stanford.edu
