Dieter Büchler

11 papers · 2020–2024 · 5 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 💎 Century Club · Bronze 🔥 Unstoppable · Bronze

🗃️ Keyword Collector (55)

Venues

CoRL (3) ICLR (3) RSS (3) L4DC (1) NeurIPS (1)

Top co-authors

Bernhard Schölkopf (5) Jan Schneider (4) Michael Muehlebach (3) Georg Martius (3) Hao Ma (3) Simon Guist (3) Pierre Schumacher (3) Le Chen (3) Daniel Haeufle (3) Vaisakh Shaj (2)

Research topics

Reinforcement Learning (7) Artificial Intelligence (6) Machine Learning (6) Optimization & Theory (6) Applications (5) Core AI (5) Deep Learning (3) Architectures (3) Methods (3) Robotics (2) Capabilities (2) Learning Paradigms (1)

Keywords

reinforcement learning (5) sample efficiency (2) neural network (2) imitation learning (1) continuous control (1) policy gradient (1) multi-task learning (1) trajectory prediction (1) hierarchical reinforcement learning (1) system identification (1) temporal abstraction (1) inverse dynamics (1) off-policy learning (1) trajectory tracking (1) extended kalman filter (1) optimal transport (1) second-order optimization (1) probabilistic model (1) gaussian graphical model (1) motion planning (1)

Papers

Identifying Policy Gradient Subspaces ICLR 2024 RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands CoRL 2024 Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion RSS 2024 Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts L4DC 2023 DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems ICLR 2023 Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning RSS 2023 A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles RSS 2022 Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios ICLR 2022 Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks CoRL 2022 Hierarchical Reinforcement Learning with Timed Subgoals NeurIPS 2021 Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning CoRL 2020