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Estimation Considerations in Contextual Bandits., , и . CoRR, (2017)REVEAL 2020: Bandit and Reinforcement Learning from User Interactions., , , , , и . RecSys, стр. 628-629. ACM, (2020)Balanced Linear Contextual Bandits., , , и . AAAI, стр. 3445-3453. AAAI Press, (2019)Selectively Contextual Bandits., , , , и . CoRR, (2022)REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale., , , , и . RecSys, стр. 684-685. ACM, (2022)MORS 2022: The Second Workshop on Multi-Objective Recommender Systems., , , , , , и . RecSys, стр. 658-660. ACM, (2022)On the Design of Estimators for Bandit Off-Policy Evaluation., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 6468-6476. PMLR, (2019)REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation., , , , , и . RecSys, стр. 568-569. ACM, (2019)Scalable Coordinated Exploration in Concurrent Reinforcement Learning., , и . NeurIPS, стр. 4223-4232. (2018)Online Multi-Armed Bandits with Adaptive Inference., , и . NeurIPS, стр. 1939-1951. (2021)