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Autoregressive Bandits., , , , , , and . CoRR, (2022)ARLO: A Framework for Automated Reinforcement Learning., , , , and . CoRR, (2022)Importance Sampling Techniques for Policy Optimization., , , and . J. Mach. Learn. Res., (2020)On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation., , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1423-1433. PMLR, (2023)Gradient-Aware Model-based Policy Search., , , , and . CoRR, (2019)Compatible Reward Inverse Reinforcement Learning., , and . NIPS, page 2050-2059. (2017)Trust Region Meta Learning for Policy Optimization., , , and . Meta-Knowledge Transfer @ ECML/PKDD, volume 191 of Proceedings of Machine Learning Research, page 62-74. PMLR, (2022)Towards Theoretical Understanding of Inverse Reinforcement Learning., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 24555-24591. PMLR, (2023)A unified view of configurable Markov Decision Processes: Solution concepts, value functions, and operators.. Intelligenza Artificiale, 16 (2): 165-184 (2022)An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-Markov Decision Processes., , and . CoRR, (2023)