most citedAttacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence

3 citations · 4 across the 5 of their papers we have counts for

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cs.LG2023★ 1 cited

Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization

Simin Li, Ruixiao Xu, Jingqiao Xiu +4

In multi-agent reinforcement learning (MARL), ensuring robustness against unpredictable or worst-case actions by allies is crucial for real-world deployment. Existing robust MARL m…

cs.LG2023★ 3 cited

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence

Simin Li, Jun Guo, Jingqiao Xiu +8

This study probes the vulnerabilities of cooperative multi-agent reinforcement learning (c-MARL) under adversarial attacks, a critical determinant of c-MARL's worst-case performanc…