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Blending Imitation and Reinforcement Learning for Robust Policy Improvement.

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Michiko Yoneda

 

Другие публикации лиц с тем же именем

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation., , , , , , , , , и 3 other автор(ы). CoRR, (2021)Blending Imitation and Reinforcement Learning for Robust Policy Improvement., , , , и . ICLR, OpenReview.net, (2024)Bib2vec: Embedding-based Search System for Bibliographic Information., , , и . EACL (Software Demonstrations), стр. 112-115. Association for Computational Linguistics, (2017)To the Noise and Back: Diffusion for Shared Autonomy., , , , и . Robotics: Science and Systems, (2023)Blending Imitation and Reinforcement Learning for Robust Policy Improvement., , , , и . CoRR, (2023)Active Policy Improvement from Multiple Black-box Oracles., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 22320-22337. PMLR, (2023)6-DoF Stability Field via Diffusion Models., , , и . CoRR, (2023)Invariance Through Latent Alignment., , , и . Robotics: Science and Systems, (2022)Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States., , , , , и . CoRL, том 229 из Proceedings of Machine Learning Research, стр. 3277-3291. PMLR, (2023)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)