Preprint
Sep 2026
SkillX: Unified Multi-Skill Policy Learning for Humanoid Soccer
SkillX is presented, a unified reinforcement learning framework that learns and composes multiple atomic soccer skills through a single command-conditioned policy, enabling the robot to execute atomic skills and transition among them such as dribbling, trapping, and shooting.
Zhang-Chen Ye, En-Xuan Ruan, Yi-Fei Bao et al.
· 2 citations