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Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World., , , , , и . ICRA, стр. 1593-1599. IEEE, (2022)Unsupervised Reinforcement Learning with Contrastive Intrinsic Control., , , , , и . NeurIPS, (2022)PADL: Language-Directed Physics-Based Character Control., , , и . SIGGRAPH Asia, стр. 19:1-19:9. ACM, (2022)Learning Agile Robotic Locomotion Skills by Imitating Animals., , , , , и . Robotics: Science and Systems, (2020)Learning and Adapting Agile Locomotion Skills by Transferring Experience., , , , , , , и . Robotics: Science and Systems, (2023)Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot., , , , , , и . IROS, стр. 1479-1486. IEEE, (2022)Learning locomotion skills using DeepRL: does the choice of action space matter?, и . Symposium on Computer Animation, стр. 12:1-12:13. Eurographics Association / ACM, (2017)Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow., , , , и . ICLR (Poster), OpenReview.net, (2019)Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions., , , , , , и . IROS, стр. 25-32. IEEE, (2022)MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies., , , , и . NeurIPS, стр. 3681-3692. (2019)