AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning

Guangchong Zhou, Zeren Zhang, Guoliang Fan

Exploration in cooperative multi-agent reinforcement learning (MARL) remains challenging for value-based agents due to the absence of an explicit policy. Existing approaches includ…