Publications

STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning

International Conference on Machine Learning (ICML), 2023.
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
Publisher's website BibTeX

Stein Information Directed Sampling for Efficient Exploration in Model-Based Reinforcement Learning

In Oral, AAAI Reinforcement Learning Ready for Production Workshop, 2023, 2023
Souradip Chakraborty and Amrit Singh Bedi and Alec Koppel and Furong Huang and Dinesh Manocha
BibTeX

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Furong Huang, Pratap Tokekar, Dinesh Manocha
Publisher's website BibTeX

Certifiably Robust Multi-Agent Reinforcement Learning against Adversarial Communication

The Eleventh International Conference on Learning Representations (ICLR), 2023.
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
Publisher's website BibTeX

Certifiably Robust Multi-Agent Reinforcement Learning against Adversarial Communication

accepted to the Responsible Decision Making in Dynamic Environments Workshop @ICML2022.
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
BibTeX

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication

In Rebellion and Disobedience in AI (RaD-AI) Workshop, AAMAS 2023, 2023
Yanchao Sun and Ruijie Zheng and Parisa Hassanzadeh and Yongyuan Liang and Soheil Feizi and Sumitra Ganesh and Furong Huang
BibTeX

DP-InstaHide: Data Augmentations Provably Enhance Guarantees Against Dataset Manipulations

In ML Safety workshop, NeurIPS 2022, 2022
Eitan Borgnia and Jonas Geiping and Valeriia Cherepanova and Liam H. Fowl and Arjun Gupta and Amin Ghiasi and Furong Huang and Micah Goldblum and Tom Goldstein
BibTeX

Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function

The Eleventh International Conference on Learning Representations (ICLR), 2023.
Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
Publisher's website BibTeX

SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication

The Eleventh International Conference on Learning Representations (ICLR), 2023.
Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit Singh Bedi, Furong Huang
Publisher's website BibTeX

Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness

The Eleventh International Conference on Learning Representations (ICLR), 2023.
Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang
Publisher's website BibTeX