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Multi-Agent Reinforcement Learning : a Manifesto

We argue that the recent work in AI on multi-agent reinforcement learning (that is, learning in stochastic games), while exciting, is flawed. The fundamental flaw is unclarity about the problem or problems being addressed. After discussing the recent literature, we identify four well-defined problems in multi-agent reinforcement learning, single out the problem that in our view is most suitable for AI, and make some remarks about how we believe progress is to be made on this problem. 1