Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence

1 code implementation • 7 Feb 2023 • Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Aishan Liu, Wenjun Wu, Xianglong Liu

To achieve maximum deviation in victim policies under complex agent-wise interactions, our unilateral attack aims to characterize and maximize the impact of the adversary on the victims.

Continuous Control reinforcement-learning +4