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A Review of Cooperative Multi-Agent Deep Reinforcement Learning
[article]
2021
arXiv
pre-print
Deep Reinforcement Learning has made significant progress in multi-agent systems in recent years. In this review article, we have focused on presenting recent approaches on Multi-Agent Reinforcement Learning (MARL) algorithms. In particular, we have focused on five common approaches on modeling and solving cooperative multi-agent reinforcement learning problems: (I) independent learners, (II) fully observable critic, (III) value function factorization, (IV) consensus, and (IV) learn to
arXiv:1908.03963v4
fatcat:s2umqzxmqrhntkev3f6k554cv4