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cs.LG2024
The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis
Matthew Zurek, Yudong Chen
We study the sample complexity of the plug-in approach for learning -optimal policies in average-reward Markov decision processes (MDPs) with a generative model. The p…
cs.LG2024
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
Matthew Zurek, Yudong Chen
We study the sample complexity of learning an -optimal policy in an average-reward Markov decision process (MDP) under a generative model. For weakly communicating MDP…