Publications

model primitive hierarchical reinforcement learning
Model Primitive Hierarchical Lifelong Reinforcement Learning
Bohan Wu, Jayesh K. Gupta and Mykel Kochenderfer
AAMAS 2019
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Learning Policy Representations in Multiagent Systems
Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda and Harrison Edwards
ICML 2018
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Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs
Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda and Harrison Edwards
AAMAS 2018
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Cooperative Multi-agent Control using Deep Reinforcement Learning
Jayesh K. Gupta, Maxim Egorov and Mykel Kochenderfer
AAMAS 2017
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Model-Free Imitation Learning with Policy Optimization
Jonathan Ho, Jayesh K. Gupta and Stefano Ermon
ICML 2016
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PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback
Ashesh Jain, Debarghya Das, Jayesh K. Gupta and Ashutosh Saxena
ICRA 2015
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ANN vs SNN
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures
John Mern, Jayesh K. Gupta and Mykel Kochenderfer
IEEE Symposium Series on Computational Intelligence (SSCI) 2017
POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty
Maxim Egorov, Zachary N. Sunberg, Edward Balaban, Tim A Wheeler, Jayesh K. Gupta, Mykel J. Kochenderfer
Journal of Machine Learning Research