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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)Importance Weighted Transfer of Samples in Reinforcement Learning., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4943-4952. PMLR, (2018)A Novel Confidence-Based Algorithm for Structured Bandits., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3175-3185. PMLR, (2020)Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path., , , and . ALT, volume 201 of Proceedings of Machine Learning Research, page 310-357. PMLR, (2023)Exploiting structure for transfer in reinforcement learning.. Polytechnic University of Milan, Italy, (2021)Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes., , , and . NeurIPS, page 8953-8963. (2018)