Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes

24 Jun 2020Yi TianJian QianSuvrit Sra

We study minimax optimal reinforcement learning in episodic factored Markov decision processes (FMDPs), which are MDPs with conditionally independent transition components. Assuming the factorization is known, we propose two model-based algorithms... (read more)

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