Robust Multi-Agent Reinforcement Learning with State Uncertainty

Sihong He, Songyang Han, Sanbao Su +3

In real-world multi-agent reinforcement learning (MARL) applications, agents may not have perfect state information (e.g., due to inaccurate measurement or malicious attacks), whic…