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Understanding Self-Predictive Learning for Reinforcement Learning.

, , , , , , , , , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 33632-33656. PMLR, (2023)

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Adaptive Trade-Offs in Off-Policy Learning., , and . CoRR, (2019)The Termination Critic., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2231-2240. PMLR, (2019)Recurrent Experience Replay in Distributed Reinforcement Learning., , , , and . ICLR (Poster), OpenReview.net, (2019)The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning., , , , , and . ICLR (Poster), OpenReview.net, (2018)Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model., , , , , and . CoRR, (2024)Deep Reinforcement Learning and its Neuroscientific Implications., , , , and . CoRR, (2020)The Value-Improvement Path: Towards Better Representations for Reinforcement Learning., , , , , , and . CoRR, (2020)Fast Task Inference with Variational Intrinsic Successor Features., , , , , and . CoRR, (2019)Successor Features for Transfer in Reinforcement Learning., , , , , , and . NIPS, page 4055-4065. (2017)Bootstrapped Representations in Reinforcement Learning., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 18686-18713. PMLR, (2023)