From Experience to Ability: How Agentic Skills Form, Internalize, and Self‑Evolve
In this MLNLP Academic Talk, Tsinghua PhD candidate Wu Jinyang presents his research on Agentic Skill formation, internalization, and continual self‑evolution, detailing three projects—ThoughtICR, TemplateRL, and SEED—that connect contextual reasoning, reinforcement learning, and autonomous skill growth.
