Author

Run-Han Huang

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Preprint Oct 2026

Scaling Online Exploration for Robot Agents

Robot learning has advanced by scaling demonstration datasets and model capacity; however, deploying a new robot embodiment or task typically necessitates a dedicated teleoperation corpus. The resulting policies remain bounded by their imitation distributions, limiting generalization and continual self-improvement. We...

Run-Han Huang, Xiang-Cheng Zhang, Hao-Yu Chen et al. · 3 citations

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