Learning Agentic Policy from Action Guidance

Yuxiang Ji, Zengbin Wang, Yong Wang +6

Agentic reinforcement learning (RL) for Large Language Models (LLMs) critically depends on the exploration capability of the base policy, as training signals emerge only within its…