Preprint
Aug 2026
SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models
SKILLER is a natural-language-driven reinforcement learning framework designed to automatically generate executor-specific skills for small models, which employs a strong model as the actor and critic, treats the small-model agent system as the environment, and propagates all reinforcement learning signals entirely via...
Chen-Hao Dang, Siyuan Xiong, Cong-Hui He et al.
· 4 citations