Author

Houlin Li

h-index 0 View on Semantic Scholar

We have 3 of 3 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Sep 2026

BEE: Intervention-Adaptive Real-World Reinforcement Learning with Vision-Language-Action Models

Vision-language-action (VLA) models handle long-horizon manipulation, yet success hinges on a few precision-critical phases where millimeter-scale errors undo all prior progress. Online reinforcement learning (RL) can optimize exactly these actions, but free exploration is far too costly on real robots, which makes hum...

Wei-Hui Zhao, Xiao Yan, Zu-Nian Wan et al. · 0 citations

Preprint Aug 2026

CIDER: Continual Interactive Distillation for Embodied Reinforcement Learning

This work introduces Continual Interactive Distillation for Embodied Reinforcement Learning (CIDER), a continual reinforcement learning framework that freezes the accumulated historical policy as a teacher before learning each new task and interleaves task learning with distillation-based retention.

Hou-Lin Li, Ming Xu, Guofeng Xu et al. · 0 citations

Jul 2026

VINE: Taming Generative Control Policies for Reinforcement Learning

VINE is proposed, an RL-oriented sampling method that enables stable end-to-end value-gradient optimization for flow-matching policies and achieves stable policy improvement and consistently outperforms state-of-the-art RL methods on the OGBench offline RL benchmark and real-world robotic manipulation task.

Rushuai Yang, Zhuo Han, Houlin Li et al. · arXiv.org · 0 citations