Author

Yong-Cheng Liu

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#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