Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing

Haobin Jiang, Ziluo Ding, Zongqing Lu

Exploration in decentralized cooperative multi-agent reinforcement learning faces two challenges. One is that the novelty of global states is unavailable, while the novelty of loca…