ResearchTrend.AI
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models

Pierre Schumacher
Thomas Geijtenbeek
Vittorio Caggiano
Vikash Kumar
Syn Schmitt
Georg Martius
Daniel Haeufle
ArXivPDFHTML

Papers citing "Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models"

3 / 3 papers shown
Title
Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion
Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion
Henri-Jacques Geiss
Firas Al-Hafez
Andre Seyfarth
Jan Peters
Davide Tateo
42
2
0
16 Jul 2024
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements
Jhon Charaja
Isabell Wochner
Pierre Schumacher
Winfried Ilg
M. Giese
Christophe Maufroy
Andreas Bulling
Syn Schmitt
Daniel Haeufle
36
2
0
21 Feb 2024
Advanced Skills by Learning Locomotion and Local Navigation End-to-End
Advanced Skills by Learning Locomotion and Local Navigation End-to-End
Nikita Rudin
David Hoeller
Marko Bjelonic
Marco Hutter
80
74
0
26 Sep 2022