Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning

Kaichen He, Zihao Wang, Muyao Li +2

The paradigm of agentic AI is shifting from engineered complex workflows to post-training native models. However, existing agents are typically confined to static, predefined actio…