ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via
Convex Relaxation

ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation

14 September 2021

Chuangchuang Sun

Jonathan P. How

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Papers citing "ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation"

13 / 13 papers shown

Title
Noisy Zero-Shot Coordination: Breaking The Common Knowledge Assumption In Zero-Shot Coordination Games Usman Anwar Ashish Pandian Jia Wan David M. Krueger Jakob N. Foerster 131 0 0 07 Nov 2024
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective Muhammad Aneeq uz Zaman Mathieu Laurière Alec Koppel Tamer Basar 127 4 0 20 Jun 2024
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization Simin Li Ruixiao Xu Jingqiao Xiu Yuwei Zheng Pu Feng Yaodong Yang Xianglong Liu 167 0 0 15 Oct 2023
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning Aakriti Agrawal R. Aralikatti Yanchao Sun Furong Huang 72 0 0 12 Oct 2023
Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming A. Chriat Chuangchuang Sun 112 1 0 03 Oct 2023
Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming A. Chriat Chuangchuang Sun 104 4 0 15 Sep 2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty Sihong He Songyang Han Sanbao Su Shuo Han Shaofeng Zou Fei Miao OOD 117 50 0 30 Jul 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 140 28 0 17 May 2023
Robust Multi-agent Communication via Multi-view Message Certification Lei Yuan T. Jiang Lihe Li F. Chen Zongzhang Zhang Yang Yu 103 2 0 07 May 2023
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 163 28 0 06 Dec 2022
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria Dong-Ki Kim Matthew D Riemer Miao Liu Jakob N. Foerster Gerald Tesauro Jonathan P. How 104 4 0 28 Oct 2022
Sparse Adversarial Attack in Multi-agent Reinforcement Learning Yi Hu Zhihua Zhang AAML 118 12 0 19 May 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states Ziyuan Zhou Guanjun Liu AAML 137 32 0 15 May 2022