Towards Fault Tolerance in Multi-Agent Reinforcement Learning

Yuchen Shi, Huaxin Pei, Liang Feng +2

Agent faults pose a significant threat to the performance of multi-agent reinforcement learning (MARL) algorithms, introducing two key challenges. First, agents often struggle to e…