Jayesh K. Gupta

CoRR, 2024

EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields.

[BibT_eX]

[DOI]

Anish Bhattacharya

Ratnesh Madaan

Fernando Cladera Ojeda

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

2023

Towards Multi-spatiotemporal-scale Generalized PDE Modeling.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Geometric Clifford Algebra Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

ClimaX: A foundation model for weather and climate.

[BibT_eX]

[DOI]

Tung Nguyen

Ashish Kapoor

Aditya Grover

Proceedings of the International Conference on Machine Learning, 2023

Clifford Neural Layers for PDE Modeling.

[BibT_eX]

[DOI]

Rianne van den Berg

Max Welling

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Scalable Online Planning for Multi-Agent MDPs.

[BibT_eX]

[DOI]

Peter Morales

J. Artif. Intell. Res., 2022

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

[BibT_eX]

[DOI]

Dorsa Sadigh

Jeannette Bohg

Auton. Robots, 2022

Learning Modular Simulations for Homogeneous Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Learning to Simulate Realistic LiDARs.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Jennifer She

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

Recursive Reasoning Graph for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

Kunal Menda

CoRR, 2021

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

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

Scalable Anytime Planning for Multi-Agent MDPs.

[BibT_eX]

[DOI]

Peter Morales

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

2020

Normalized Stanford Helicopter Dataset.

[BibT_eX]

[DOI]

Mykel John Kochenderfer

Dataset, February, 2020

Modularity and coordination for planning and reinforcement learning.

[BibT_eX]

[DOI]

PhD thesis, 2020

Model primitives for hierarchical lifelong reinforcement learning.

[BibT_eX]

[DOI]

Bohan Wu

Auton. Agents Multi Agent Syst., 2020

Structured Mechanical Models for Robot Learning and Control.

[BibT_eX]

[DOI]

Kunal Menda

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

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

[BibT_eX]

[DOI]

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

Normalizing Flow Policies for Multi-agent Systems.

[BibT_eX]

[DOI]

Xiaobai Ma

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.

[BibT_eX]

[DOI]

Xiaobai Ma

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

2019

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

[BibT_eX]

[DOI]

Ross E. Allen

Javona White Bear

CoRR, 2019

A General Framework for Structured Learning of Mechanical Systems.

[BibT_eX]

[DOI]

Kunal Menda

CoRR, 2019

Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning.

[BibT_eX]

[DOI]

Raunak P. Bhattacharyya

Derek J. Phillips

Changliu Liu

Katherine Rose Driggs-Campbell

Proceedings of the International Conference on Robotics and Automation, 2019

Model Primitive Hierarchical Lifelong Reinforcement Learning.

[BibT_eX]

[DOI]

Bohan Wu

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

2018

Learning Policy Representations in Multiagent Systems.

[BibT_eX]

[DOI]

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

Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs.

[BibT_eX]

[DOI]

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

2017

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

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

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

[BibT_eX]

[DOI]

John Mern

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

Cooperative Multi-agent Control Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Maxim Egorov

Proceedings of the Autonomous Agents and Multiagent Systems, 2017

2016

Model-Free Imitation Learning with Policy Optimization.

[BibT_eX]

[DOI]

Jonathan Ho