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Sublinear Optimal Policy Value Estimation in Contextual Bandits., , и . CoRR, (2019)Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making., , , и . CoRR, (2021)Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy., , , и . AAAI, стр. 4436-4443. AAAI Press, (2020)Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization., , , и . CoRR, (2023)Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding., , , и . NeurIPS, (2020)Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes., , и . NeurIPS, стр. 15650-15666. (2021)Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning., , и . NeurIPS, стр. 13626-13640. (2021)Fairer but Not Fair Enough On the Equitability of Knowledge Tracing., и . LAK, стр. 335-339. ACM, (2019)Sublinear Optimal Policy Value Estimation in Contextual Bandits., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 4377-4387. PMLR, (2020)Online Model Selection for Reinforcement Learning with Function Approximation., , , , и . CoRR, (2020)