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Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.

, , , , , , , , , , , , , , , , , , , , , , , и . NeurIPS (Competition and Demos), том 220 из Proceedings of Machine Learning Research, стр. 133-150. PMLR, (2021)

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Arthur Schneider

Arthur Halfas

Arthur Gilzem

Arthur Leppert

Arthur Metsch

 

Другие публикации лиц с тем же именем

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)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)LASER: Learning a Latent Action Space for Efficient Reinforcement Learning., , , , , и . ICRA, стр. 6650-6656. IEEE, (2021)DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality., , , , , , , , , и 1 other автор(ы). ICRA, стр. 5977-5984. IEEE, (2023)Symmetry Considerations for Learning Task Symmetric Robot Policies., , , , и . CoRR, (2024)DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training., , , , и . Robotics: Science and Systems, (2023)Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger., , , , , , , , , и . IROS, стр. 11802-11809. IEEE, (2022)Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning., , , , , , , , , и 1 other автор(ы). NeurIPS Datasets and Benchmarks, (2021)