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Transfer of Samples in Policy Search via Multiple Importance Sampling., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6264-6274. PMLR, (2019)Gradient-Aware Model-based Policy Search., , , , and . CoRR, (2019)Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees., , , , and . NeurIPS, (2022)Transfer of Value Functions via Variational Methods., , and . NeurIPS, page 6182-6192. (2018)Simple Ingredients for Offline Reinforcement Learning., , , , , and . CoRR, (2024)Optimistic PAC Reinforcement Learning: the Instance-Dependent View., , and . ALT, volume 201 of Proceedings of Machine Learning Research, page 1460-1480. PMLR, (2023)Gradient-Aware Model-Based Policy Search., , , , and . AAAI, page 3801-3808. AAAI Press, (2020)A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs., , and . CoRR, (2021)On the Complexity of Representation Learning in Contextual Linear Bandits., , and . CoRR, (2022)Layered State Discovery for Incremental Autonomous Exploration., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 4953-5001. PMLR, (2023)