Robust Multi-Agent Reinforcement Learning via Adversarial
Regularization: Theoretical Foundation and Stable Algorithms

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

16 October 2023

Alexander Bukharin

Zhehui Chen

Papers citing "Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms"

7 / 7 papers shown

Title
The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 38 5 0 11 Aug 2024
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski A. H. Sayed AAML 27 1 0 23 Mar 2023
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 60 23 0 21 Sep 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 81 67 0 15 May 2022
Self-Training with Differentiable Teacher Simiao Zuo Yue Yu Chen Liang Haoming Jiang Siawpeng Er Chao Zhang T. Zhao H. Zha 27 14 0 15 Sep 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 54 161 0 21 Jan 2021
On the Robustness of Cooperative Multi-Agent Reinforcement Learning Jieyu Lin Kristina Dzeparoska S. Zhang A. Leon-Garcia Nicolas Papernot AAML 67 64 0 08 Mar 2020