Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling
Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling explores Develop an algorithm for approximate Nash Equilibria in cooperative multi-agent systems with communication constraints.. Commercial viability score: 3/10 in Reinforcement Learning.
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