Jayesh K. Gupta

According to our database, Jayesh K. Gupta authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields.

Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Geometric Clifford Algebra Networks.

David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter

Proceedings of the International Conference on Machine Learning, 2023

ClimaX: A foundation model for weather and climate.

Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover

Proceedings of the International Conference on Machine Learning, 2023

Clifford Neural Layers for PDE Modeling.

Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Scalable Online Planning for Multi-Agent MDPs.

Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer

J. Artif. Intell. Res., 2022

Towards Multi-spatiotemporal-scale Generalized PDE Modeling.

Jayesh K. Gupta, Johannes Brandstetter

CoRR, 2022

Dynamic multi-robot task allocation under uncertainty and temporal constraints.

Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg

Auton. Robots, 2022

Learning Modular Simulations for Homogeneous Systems.

Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems.

Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning to Simulate Realistic LiDARs.

Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract).

Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning.

Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Recursive Reasoning Graph for Multi-Agent Reinforcement Learning.

Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual.

Kunal Menda, Jayesh K. Gupta, Zachary Manchester, Mykel J. Kochenderfer

CoRR, 2021

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning.

Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Scalable Anytime Planning for Multi-Agent MDPs.

Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Modularity and coordination for planning and reinforcement learning.

Jayesh K. Gupta

PhD thesis, 2020

Model primitives for hierarchical lifelong reinforcement learning.

Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer

Auton. Agents Multi Agent Syst., 2020

Structured Mechanical Models for Robot Learning and Control.

Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM.

Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester

Proceedings of the 37th International Conference on Machine Learning, 2020

Normalizing Flow Policies for Multi-agent Systems.

Xiaobai Ma, Jayesh K. Gupta, Mykel J. Kochenderfer

Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems.

Xiaobai Ma, Jayesh K. Gupta, Mykel J. Kochenderfer

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning.

Ross E. Allen, Javona White Bear, Jayesh K. Gupta, Mykel J. Kochenderfer

CoRR, 2019

A General Framework for Structured Learning of Mechanical Systems.

Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer

CoRR, 2019

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 Rose Driggs-Campbell, Mykel J. Kochenderfer

Proceedings of the International Conference on Robotics and Automation, 2019

Model Primitive Hierarchical Lifelong Reinforcement Learning.

Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Learning Policy Representations in Multiagent Systems.

Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards

Proceedings of the 35th International Conference on Machine Learning, 2018

Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs.

Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty.

Maxim Egorov, Zachary N. Sunberg, Edward Balaban, Tim Allan Wheeler, Jayesh K. Gupta, Mykel J. Kochenderfer

J. Mach. Learn. Res., 2017

Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures.

John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Cooperative Multi-agent Control Using Deep Reinforcement Learning.

Jayesh K. Gupta, Maxim Egorov, Mykel J. Kochenderfer

Proceedings of the Autonomous Agents and Multiagent Systems, 2017

2016

Model-Free Imitation Learning with Policy Optimization.

Jonathan Ho, Jayesh K. Gupta, Stefano Ermon

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

PlanIt: A crowdsourcing approach for learning to plan paths from large scale preference feedback.

Ashesh Jain, Debarghya Das, Jayesh K. Gupta, Ashutosh Saxena

Proceedings of the IEEE International Conference on Robotics and Automation, 2015