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News/Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs
arxiv
PublishedJune 15, 2026 at 4:00 AM

Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs

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arXiv:2606.14095v1 Announce Type: new Abstract: We study the sample complexity of learning in average-reward weakly-coupled Markov decision processes (WCMDPs) and Restless Bandits (RBs) under a generative model. Naive reduction to a tabular MDP leads to high complexity bounds as the state-action spa

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