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Targeted free energy estimation via learned mappings

, , , , , , , и . (2020)cite arxiv:2002.04913Comment: 10 pages, 5 figures.

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Alexander Pritzel

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Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles., , и . NIPS, стр. 6402-6413. (2017)DARLA: Improving Zero-Shot Transfer in Reinforcement Learning., , , , , , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 1480-1490. PMLR, (2017)Deep Exploration via Bootstrapped DQN., , , и . NIPS, стр. 4026-4034. (2016)Generative Temporal Models with Spatial Memory for Partially Observed Environments., , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 1544-1553. PMLR, (2018)Vector-based navigation using grid-like representations in artificial agents., , , , , , , , , и 16 other автор(ы). Nat., 557 (7705): 429-433 (2018)Never Give Up: Learning Directed Exploration Strategies., , , , , , , , , и 1 other автор(ы). ICLR, OpenReview.net, (2020)GraphCast: Learning skillful medium-range global weather forecasting, , , , , , , , , и 8 other автор(ы). (2022)cite arxiv:2212.12794Comment: GraphCast code and trained weights are available at: https://github.com/deepmind/graphcast.Meta-learning of Sequential Strategies., , , , , , , , , и 14 other автор(ы). CoRR, (2019)Targeted free energy estimation via learned mappings, , , , , , , и . (2020)cite arxiv:2002.04913Comment: 10 pages, 5 figures.Localization of gauge fields and Maxwell-Chern-Simons theory, и . Phys. Rev. D, (2011)