Progress-conditioned Group Policy Optimization for Long-Horizon Agentic Tasks

Kaibing Yang, Guangfeng Cai, Shengtian Yang +6

Group-based policy optimization has been increasingly used to train large language model (LLM) agents from sparse outcome rewards by comparing trajectories or steps within a group.…