no code implementations • 12 Jan 2024 • Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Häufle, Bernhard Schölkopf, Dieter Büchler
Policy gradient methods hold great potential for solving complex continuous control tasks.
no code implementations • 13 Sep 2023 • Jan Schneider, Pierre Schumacher, Daniel Häufle, Bernhard Schölkopf, Dieter Büchler
Reinforcement learning~(RL) is a versatile framework for learning to solve complex real-world tasks.
1 code implementation • 30 May 2022 • Pierre Schumacher, Daniel Häufle, Dieter Büchler, Syn Schmitt, Georg Martius
Muscle-actuated organisms are capable of learning an unparalleled diversity of dexterous movements despite their vast amount of muscles.