Jayesh K. Gupta
Jayesh K. Gupta
Verified email at - Homepage
Cited by
Cited by
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
Model-Free Imitation Learning with Policy Optimization
J Ho, JK Gupta, S Ermon
International Conference on Machine Learning, 2016, 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
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
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
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
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
Mtba: Matlab toolbox for biclustering analysis
JK Gupta, S Singh, NK Verma
IEEE workshop on computational intelligence: theories, applications and …, 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
Structured mechanical models for robot learning and control
JK Gupta, K Menda, Z Manchester, M Kochenderfer
Learning for Dynamics and Control, 328-337, 2020
A general framework for structured learning of mechanical systems
JK Gupta, K Menda, Z Manchester, MJ Kochenderfer
arXiv preprint arXiv:1902.08705, 2019
Dynamic multi-robot task allocation under uncertainty and temporal constraints
S Choudhury, JK Gupta, MJ Kochenderfer, D Sadigh, J Bohg
Autonomous Robots 46 (1), 231-247, 2022
Model primitives for hierarchical lifelong reinforcement learning
B Wu, JK Gupta, M Kochenderfer
Autonomous Agents and Multi-Agent Systems 34 (1), 1-38, 2020
Scalable anytime planning for multi-agent MDPs
S Choudhury, JK Gupta, P Morales, MJ Kochenderfer
arXiv preprint arXiv:2101.04788, 2021
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
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
Normalizing Flow Policies for Multi-agent Systems
X Ma, JK Gupta, MJ Kochenderfer
International Conference on Decision and Game Theory for Security, 2020
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning
RE Allen, JK Gupta, J Pena, Y Zhou, JW Bear, MJ Kochenderfer
arXiv preprint arXiv:1908.01022, 2019
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
Feature level analysis
NK Verma, JK Gupta, S Singh, RK Sevakula, S Dixit, A Salour
IEEE Workshop on Computational Intelligence: Theories, Applications and …, 2013
The system can't perform the operation now. Try again later.
Articles 1–20