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
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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
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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
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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
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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
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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
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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 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
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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
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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
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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
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