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Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy.

, , , и . AAAI, стр. 4436-4443. AAAI Press, (2020)

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Bernhard Dann

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Walter Dann

 

Другие публикации лиц с тем же именем

A Unified Algorithm for Stochastic Path Problems., , и . ALT, том 201 из Proceedings of Machine Learning Research, стр. 510-557. PMLR, (2023)Policy Evaluation with Temporal Differences: A Survey and Comparison (Extended Abstract)., , и . ICAPS, стр. 359-360. AAAI Press, (2015)A Model Selection Approach for Corruption Robust Reinforcement Learning., , и . CoRR, (2021)Best of Both Worlds Model Selection., , и . NeurIPS, (2022)Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 4666-4689. PMLR, (2022)Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy., , , и . CoRR, (2019)Policy Certificates: Towards Accountable Reinforcement Learning., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 1507-1516. PMLR, (2019)A Model Selection Approach for Corruption Robust Reinforcement Learning., , и . ALT, том 167 из Proceedings of Machine Learning Research, стр. 1043-1096. PMLR, (2022)Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning., , , и . NeurIPS, стр. 1-12. (2021)RLPy: a value-function-based reinforcement learning framework for education and research., , , , и . J. Mach. Learn. Res., (2015)