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Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration.

, и . CoRR, (2008)

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Christos Kapnukajas

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Christos Xenakis

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Christos Karadedos

 

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Calibrated Fairness in Bandits, , , , и . arXiv preprint arXiv:1707.01875, (2017)Bayesian Reinforcement Learning via Deep, Sparse Sampling., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3036-3045. PMLR, (2020)Boosting HMMs with an application to speech recognition., и . ICASSP (5), стр. 621-624. IEEE, (2004)On Meritocracy in Optimal Set Selection., , , , и . EAAMO, стр. 20:1-20:14. ACM, (2022)Eliciting Kemeny Rankings., и . AAAI, стр. 12164-12171. AAAI Press, (2024)Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning., , , , и . ICBINB@NeurIPS, том 137 из Proceedings of Machine Learning Research, стр. 43-52. PMLR, (2020)Thompson Sampling for Stochastic Bandits with Graph Feedback., , и . AAAI, стр. 2660-2666. AAAI Press, (2017)Minimax-Bayes Reinforcement Learning., , , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 7511-7527. PMLR, (2023)Linear Bayesian Reinforcement Learning., , и . IJCAI, стр. 1721-1728. IJCAI/AAAI, (2013)Online policy adaptation for ensemble classifiers., и . ESANN, стр. 19-24. (2004)