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Residual Reinforcement Learning for Robot Control., , , , , , , , и . CoRR, (2018)Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic., , , , и . ICLR, OpenReview.net, (2017)Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation., , , и . CoRL, том 87 из Proceedings of Machine Learning Research, стр. 806-816. PMLR, (2018)Continuous Inverse Optimal Control with Locally Optimal Examples., и . ICML, icml.cc / Omnipress, (2012)Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction., , , и . CoRR, (2019)Reinforcement Learning with Deep Energy-Based Policies., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 1352-1361. PMLR, (2017)Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight., , , , и . ICRA, стр. 6008-6014. IEEE, (2019)Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost., , , , и . ICRA, стр. 3651-3657. IEEE, (2019)One-shot learning of manipulation skills with online dynamics adaptation and neural network priors., , и . IROS, стр. 4019-4026. IEEE, (2016)Learning dexterous manipulation for a soft robotic hand from human demonstrations., , , и . IROS, стр. 3786-3793. IEEE, (2016)