Elad Liebman

DM$^2$: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching

2022 · arXiv (Cornell University)

Current approaches to multi-agent cooperation rely heavily on centralized mechanisms or explicit communication protocols to ensure convergence. This paper studies the problem of distributed multi-agent learning without resorting to centralized components or explicit communication. It …