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Learning Invariances for Policy Generalization., , and . ICLR (Workshop), OpenReview.net, (2018)Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates., and . NeurIPS, page 24442-24454. (2021)Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting., , , and . ICLR, OpenReview.net, (2023)Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift., , , and . NeurIPS, (2020)On the Convergence of SARSA with Linear Function Approximation., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 41613-41646. PMLR, (2023)On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 18548-18562. PMLR, (2023)Measuring the Carbon Intensity of AI in Cloud Instances., , , , , , , , , and . FAccT, page 1877-1894. ACM, (2022)Safe Policy Improvement with Soft Baseline Bootstrapping., , and . ECML/PKDD (3), volume 11908 of Lecture Notes in Computer Science, page 53-68. Springer, (2019)Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning., , , , , , , , and . NeurIPS, (2022)On Learning Invariant Representations for Domain Adaptation., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7523-7532. PMLR, (2019)