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

Caroline Wang, Ishan Durugkar, Elad Liebman +1

Current approaches to multi-agent cooperation rely heavily on centralized mechanisms or explicit communication protocols to ensure convergence. This paper studies the problem of di…