PMIC: Improving Multi-Agent Reinforcement Learning with Progressive
Mutual Information Collaboration
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive
Mutual Information Collaboration
Learning to collaborate is critical in Multi-Agent Reinforcement Learning (MARL). Previous works promote collaboration by maximizing the correlation of agents' behaviors, which is typically characterized by Mutual Information (MI) in different forms. However, we reveal sub-optimal collaborative behaviors also emerge with strong correlations, and simply maximizing the MI can, surprisingly, …