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Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017.

, , , , , , , , , , , , , , , , , , и . CoRR, (2017)

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Towards model-free RL algorithms that scale well with unstructured data., и . CoRR, (2023)Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017., , , , , , , , , и 9 other автор(ы). CoRR, (2017)Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study., , , , , , , , , и . CoRR, (2021)Loss of Plasticity in Continual Deep Reinforcement Learning., , , , и . CoLLAs, том 232 из Proceedings of Machine Learning Research, стр. 620-636. PMLR, (2023)Discovering sensor space: Constructing spatial embeddings that explain sensor correlations.. ICDL, стр. 120-125. IEEE, (2010)Natural Value Approximators: Learning when to Trust Past Estimates., , , , , и . NIPS, стр. 2120-2128. (2017)The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents., , , , , , , , , и . CoRR, (2022)The Barbados 2018 List of Open Issues in Continual Learning., , , , , , , , , и . CoRR, (2018)Multi-timescale nexting in a reinforcement learning robot., , и . Adapt. Behav., 22 (2): 146-160 (2014)Vector-based navigation using grid-like representations in artificial agents., , , , , , , , , и 16 other автор(ы). Nat., 557 (7705): 429-433 (2018)