Publications
For more up-to-date version, see Google Scholar.
Aurora: A Foundation Model of the Atmosphere
Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan Weyn, Haiyu Dong, Anna Vaughan, Jayesh K. Gupta, Kit Tambiratnam, Alex Archibald, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris
Geometric Clifford Algebra Networks
David Ruhe, Jayesh K. Gupta, Steven de Keninck, Max Welling, Johannes Brandstetter
ICML 2023
ClimaX: A foundation model for weather and climate
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta*, Aditya Grover*
ICML 2023
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta
ICLR 2023
Learning Modular Simulations for Homogeneous Systems
Jayesh K. Gupta*, Sai Vemprala*, Ashish Kapoor
NeurIPS 2022
Learning to Simulate Realistic LiDARs
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
IROS 2022
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning
Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J Kochenderfer
AAAI 2022
Scalable Anytime Planning for Multi-agent MDPs
Shushman Choudhury*, Jayesh K. Gupta*, Peter Morales, Mykel J Kochenderfer
AAMAS 2021 (Best Paper)
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
Kunal Menda*, Jean de Becdelièvre*, Jayesh K. Gupta*, Ilan Kroo, Mykel Kochenderfer and Zachary Manchester
ICML 2020
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints
Shushman Choudhary, Jayesh K. Gupta, Mykel Kochenderfer, Dorsa Sadigh and Jeannette Bohg
RSS 2020
Structured Mechanical Models for Robot Learning and Control
Jayesh K. Gupta*, Kunal Menda*, Zachary Manchester and Mykel Kochenderfer
L4DC 2020
Model Primitives for Hierarchical Lifelong Reinforcement Learning
Bohan Wu, Jayesh K. Gupta and Mykel Kochenderfer
JAAMAS 2020
Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems
Xiaobai Ma, Jayesh K. Gupta and Mykel Kochenderfer
AAMAS 2020
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Driggs-Campbell, Mykel J. Kochenderfer
ICRA 2019
Model Primitive Hierarchical Lifelong Reinforcement Learning
Bohan Wu, Jayesh K. Gupta and Mykel Kochenderfer
AAMAS 2019
Learning Policy Representations in Multiagent Systems
Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda and Harrison Edwards
ICML 2018
Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs
Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda and Harrison Edwards
AAMAS 2018
Cooperative Multi-agent Control using Deep Reinforcement Learning
Jayesh K. Gupta, Maxim Egorov and Mykel Kochenderfer
AAMAS 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
Model-Free Imitation Learning with Policy Optimization
Jonathan Ho, Jayesh K. Gupta and Stefano Ermon
ICML 2016
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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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
A general framework for structured learning of mechanical systems
Jayesh K. Gupta*, Kunal Menda*, Zachary Manchester and Mykel Kochenderfer
Preprint
Health-informed Policy Gradients for Multi-agent Reinforcement Learning
Ross E. Allen, Javona White Bear, Jayesh K. Gupta, Mykel Kochenderfer
Preprint
