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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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Walter Dann

 

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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)A Unified Algorithm for Stochastic Path Problems., , и . ALT, том 201 из Proceedings of Machine Learning Research, стр. 510-557. PMLR, (2023)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)RLPy: a value-function-based reinforcement learning framework for education and research., , , , и . J. Mach. Learn. Res., (2015)Pseudonorm Approachability and Applications to Regret Minimization., , , , и . ALT, том 201 из Proceedings of Machine Learning Research, стр. 471-509. PMLR, (2023)Leveraging Initial Hints for Free in Stochastic Linear Bandits., , , и . ALT, том 167 из Proceedings of Machine Learning Research, стр. 282-318. PMLR, (2022)On Oracle-Efficient PAC RL with Rich Observations., , , , , и . NeurIPS, стр. 1429-1439. (2018)Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy., , , и . CoRR, (2019)