Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents

Ziyuan Zhou, Guanjun Liu

Multi-Agent Reinforcement Learning (MARL) has been widely applied in many fields such as smart traffic and unmanned aerial vehicles. However, most MARL algorithms are vulnerable to…