Jul 2026
TAPO: Transition-Aware Policy Optimization for LLM Agents
This work proposes TAPO: Transition-Aware Policy Optimization for LLM Agents, a unified training framework that alternates between policy optimization and transition supervision, and demonstrates that TAPO consistently improves task performance over pure policy optimization baselines.
Cong Li, Pei-Xi Peng, Yisen Zhao et al.
· arXiv.org · 1 citation