Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination

The author proposes the MAGI framework to explicitly coordinate multiple agents by generating a common goal through a self-supervised generative model. This consensus mechanism enhances multi-agent cooperation and improves sample efficiency.