Model-BasedMulti-AgentRLinZero-SumMarkov GameswithNear-OptimalSampleComplexity

Neural Information Processing Systems 

Model-based reinforcement learning (RL), which finds an optimal policy using anempirical model, has long been recognized asone ofthe cornerstones ofRL.

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