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Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation.

, , , , , , , , , , , , и . CoRR, (2021)

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Ulrich Widmaier

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TriFinger: An Open-Source Robot for Learning Dexterity., , , , , , , , , и 5 other автор(ы). CoRR, (2020)Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World., , , , , , , , , и 14 other автор(ы). NeurIPS (Competition and Demos), том 220 из Proceedings of Machine Learning Research, стр. 133-150. PMLR, (2021)Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation., , , , , , , , , и 3 other автор(ы). IEEE Robotics Autom. Lett., 7 (1): 478-485 (2022)Benchmarking Offline Reinforcement Learning on Real-Robot Hardware., , , , , , , и . CoRR, (2023)Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning., , , , , , , , , и . CoRR, (2021)Real Robot Challenge: A Robotics Competition in the Cloud., , , , , , , , , и 31 other автор(ы). NeurIPS (Competition and Demos), том 176 из Proceedings of Machine Learning Research, стр. 190-204. PMLR, (2021)An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research., , , , , , , , , и 3 other автор(ы). IEEE Robotics Autom. Lett., 5 (2): 3650-3657 (2020)Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks., , , , , , , , , и . Expert Syst. J. Knowl. Eng., (июля 2023)The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes., , , , , , и . J. Open Source Softw., 6 (67): 2752 (2021)Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger., , , , , , , , , и . IROS, стр. 11802-11809. IEEE, (2022)