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Neural Probabilistic Motor Primitives for Humanoid Control., , , , , , , и . ICLR (Poster), OpenReview.net, (2019)Evaluating Model-Based Planning and Planner Amortization for Continuous Control., , , , , , , , , и 1 other автор(ы). ICLR, OpenReview.net, (2022)Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems., , , , , , , , и . ALIFE, стр. 103-110. MIT Press, (2019)Universal Humanoid Motion Representations for Physics-Based Control., , , , , , и . CoRR, (2023)DeepMind Control Suite., , , , , , , , , и 2 other автор(ы). CoRR, (2018)Deep neuroethology of a virtual rodent., , , , , и . ICLR, OpenReview.net, (2020)Universal Humanoid Motion Representations for Physics-Based Control., , , , , , и . ICLR, OpenReview.net, (2024)RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning., , , , , , , , , и 6 other автор(ы). NeurIPS, (2020)CoMic: Complementary Task Learning & Mimicry for Reusable Skills., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 4105-4115. PMLR, (2020)Graph Networks as Learnable Physics Engines for Inference and Control., , , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4467-4476. PMLR, (2018)