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Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning.

S. Guist, J. Schneider, V. Berenz, A. Dittrich, B. Schölkopf, and D. Büchler. Robotics: Science and Systems, (2023)

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Heinz Büchler

Rainer Büchler

Peter Büchler

Heinz Büchler

Rita Büchler

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Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios.V. Shaj, D. Büchler, R. Sonker, P. Becker, and G. Neumann. ICLR, OpenReview.net, (2022)Learning to Control Emulated Muscles in Real Robots: A Software Test Bed for Bio-Inspired Actuators in Hardware.P. Schumacher, L. Krause, J. Schneider, D. Büchler, G. Martius, and D. Haeufle. BioRob, page 806-813. IEEE, (2024)Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning.S. Guist, J. Schneider, V. Berenz, A. Dittrich, B. Schölkopf, and D. Büchler. Robotics: Science and Systems, (2023)RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands.Y. Zhao, L. Chen, J. Schneider, Q. Gao, J. Kannala, B. Schölkopf, J. Pajarinen, and D. Büchler. CoRR, (2024)Open X-Embodiment: Robotic Learning Datasets and RT-X Models.O. Collaboration, A. Padalkar, A. Pooley, A. Jain, A. Bewley, A. Herzog, A. Irpan, A. Khazatsky, A. Raj, A. Singh and 44 other author(s). CoRR, (2023)Hierarchical Reinforcement Learning with Timed Subgoals.N. Gürtler, D. Büchler, and G. Martius. NeurIPS, page 21732-21743. (2021)Identifying Policy Gradient Subspaces.J. Schneider, P. Schumacher, S. Guist, L. Chen, D. Haeufle, B. Schölkopf, and D. Büchler. ICLR, OpenReview.net, (2024)Reinforcement learning with model-based feedforward inputs for robotic table tennis.H. Ma, D. Büchler, B. Schölkopf, and M. Muehlebach. Auton. Robots, 47 (8): 1387-1403 (December 2023)Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots.D. Büchler, R. Calandra, and J. Peters. CoRR, (2019)Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks.I. Wochner, P. Schumacher, G. Martius, D. Büchler, S. Schmitt, and D. Haeufle. CoRL, volume 205 of Proceedings of Machine Learning Research, page 1178-1188. PMLR, (2022)

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Disambiguation of "Büchler, Dieter"

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Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning.

Please choose a person to relate this publication to

Heinz Büchler

Rainer Büchler

Peter Büchler

Heinz Büchler

Rita Büchler

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Büchler, Dieter"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning.

Please choose a person to relate this publication to

Heinz Büchler

Rainer Büchler

Peter Büchler

Heinz Büchler

Rita Büchler

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning.