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News/Non-asymptotic Convergence of Average-reward Q-learning with Options
arxiv
PublishedOctober 15, 2026 at 4:00 AM

Non-asymptotic Convergence of Average-reward Q-learning with Options

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arXiv:2610.20347v1 Announce Type: new Abstract: We study the finite-sample convergence of Q-learning algorithms for the average-reward formulation of Reinforcement Learning (RL) with options. While options allow temporarily extended and hierarchical actions, the average-reward formulation incorporat

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