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Towards instance-dependent regret optimality in Episodic MDPs with Posterior Sampling

arXiv:2610.26029v1 Announce Type: new Abstract: We study regret minimization in finite-horizon episodic Markov Decision Processes (MDPs). While minimax-optimal algorithms are known, tractable approaches to instance-dependent optimality are still lacking. Motivated by this gap, we introduce $\pi_0$-…

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  1. 2026-10-20 04:00 · arXiv stat.ML
    Towards instance-dependent regret optimality in Episodic MDPs with Posterior Sampling

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