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Learning by Playing Solving Sparse Reward Tasks from Scratch., , , , , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4341-4350. PMLR, (2018)Data-efficient Deep Reinforcement Learning for Dexterous Manipulation., , , , , , , , , и . CoRR, (2017)Representation Matters: Improving Perception and Exploration for Robotics., , , , , , , , , и 1 other автор(ы). CoRR, (2020)Acquiring visual servoing reaching and grasping skills using neural reinforcement learning., и . IJCNN, стр. 1-8. IEEE, (2013)RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation., , , , , , , , , и 29 other автор(ы). CoRR, (2023)Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots., , , , , , , , , и 5 other автор(ы). CoRR, (2023)Approximate model-assisted Neural Fitted Q-Iteration., и . IJCNN, стр. 2698-2704. IEEE, (2014)Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models., , , , , , , , и . CoRR, (2019)Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics., , , , , , , , , и . CoRL, том 100 из Proceedings of Machine Learning Research, стр. 735-751. PMLR, (2019)How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation., , , , , , и . IROS, стр. 2468-2475. IEEE, (2022)