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    Johannes Müller

    Johannes Müller

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    Working on the mathematical foundations of learning

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    Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes

    Published in Information and Inference: A Journal of the IMA, 2026

    Recommended citation: Johannes Müller, Semih Cayci. Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes. Information and Inference: A Journal of the IMA (2026). https://doi.org/10.1093/imaiai/iaaf034

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