Pierre Schumacher

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Eligibility Traces

Exploration Exploitation

Reinforcement Learning

Top Venues

IEEE Trans. Cogn. Dev. Syst.

Publications

Dominik Mattern, Pierre Schumacher, Francisco M. López, Marcel C. Raabe, Markus Roland Ernst, Arthur Aubret, Jochen Triesch
MIMo: A Multimodal Infant Model for Studying Cognitive Development. IEEE Trans. Cogn. Dev. Syst. 16 (4) (2024)
Pierre Schumacher, Lorenz Krause, Jan Schneider, Dieter Büchler, Georg Martius, Daniel F. B. Haeufle
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology. CoRR (2024)
Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel F. B. Haeufle, Bernhard Schölkopf, Dieter Büchler
Identifying Policy Gradient Subspaces. ICLR (2024)
Jhon Charaja, Isabell Wochner, Pierre Schumacher, Winfried Ilg, Martin A. Giese, Christophe Maufroy, Andreas Bulling, Syn Schmitt, Daniel F. B. Haeufle
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. CoRR (2024)
Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel F. B. Häufle, Bernhard Schölkopf, Dieter Büchler
Identifying Policy Gradient Subspaces. CoRR (2024)
Jan Schneider, Pierre Schumacher, Daniel F. B. Häufle, Bernhard Schölkopf, Dieter Büchler
Investigating the Impact of Action Representations in Policy Gradient Algorithms. CoRR (2023)
Dominik Mattern, Pierre Schumacher, Francisco M. López, Marcel C. Raabe, Markus Roland Ernst, Arthur Aubret, Jochen Triesch
MIMo: A Multi-Modal Infant Model for Studying Cognitive Development. CoRR (2023)
Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano, Vikash Kumar, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models. CoRR (2023)
Pierre Schumacher, Daniel F. B. Haeufle, Dieter Büchler, Syn Schmitt, Georg Martius
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems. ICLR (2023)
Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. CoRR (2022)
Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. CoRL (2022)
Pierre Schumacher, Daniel F. B. Häufle, Dieter Büchler, Syn Schmitt, Georg Martius
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems. CoRR (2022)
Vittorio Caggiano, Guillaume Durandau, Huwawei Wang, Alberto Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) (2021)