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Adaptive Trade-Offs in Off-Policy Learning.

, , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 34-44. PMLR, (2020)

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Jesse Dabney

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Will Heinbrok

 

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The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning., , , , , и . ICLR (Poster), OpenReview.net, (2018)Recurrent Experience Replay in Distributed Reinforcement Learning., , , , и . ICLR (Poster), OpenReview.net, (2019)The Termination Critic., , , , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 2231-2240. PMLR, (2019)Successor Features for Transfer in Reinforcement Learning., , , , , , и . NIPS, стр. 4055-4065. (2017)Bootstrapped Representations in Reinforcement Learning., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 18686-18713. PMLR, (2023)Statistics and Samples in Distributional Reinforcement Learning., , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 5528-5536. PMLR, (2019)An Analysis of Quantile Temporal-Difference Learning., , , , , , , , и . CoRR, (2023)Distributional Reinforcement Learning With Quantile Regression., , , и . AAAI, стр. 2892-2901. AAAI Press, (2018)A Geometric Perspective on Optimal Representations for Reinforcement Learning., , , , , , , , и . NeurIPS, стр. 4360-4371. (2019)An Analysis of Categorical Distributional Reinforcement Learning., , , , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 29-37. PMLR, (2018)