Büchler, Dieter

9 publications

ICLRW 2025 Generalist World Model Pre-Training for Efficient Reinforcement Learning Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen

ICLR 2024 Identifying Policy Gradient Subspaces Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Haeufle, Bernhard Schölkopf, Dieter Büchler

CoRL 2024 RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler

L4DC 2023 Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler

ICLR 2023 DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems Pierre Schumacher, Daniel Haeufle, Dieter Büchler, Syn Schmitt, Georg Martius

ICLR 2022 Hidden Parameter Recurrent State Space Models for Changing Dynamics Scenarios Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann

CoRL 2022 Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel Haeufle

NeurIPS 2021 Hierarchical Reinforcement Learning with Timed Subgoals Nico Gürtler, Dieter Büchler, Georg Martius

CoRL 2020 Action-Conditional Recurrent Kalman Networks for Forward and Inverse Dynamics Learning Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann