Showing 2025Show all
2 papers · 1 filter
cs.RO2025
Discovering Self-Protective Falling Policy for Humanoid Robot via Deep Reinforcement Learning
Diyuan Shi, Shangke Lyu, Donglin Wang
Humanoid robots have received significant research interests and advancements in recent years. Despite many successes, due to their morphology, dynamics and limitation of control p…
cs.RO2025
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
Zifeng Zhuang, Diyuan Shi, Runze Suo +5
Complex high-dimensional spaces with high Degree-of-Freedom and complicated action spaces, such as humanoid robots equipped with dexterous hands, pose significant challenges for re…