Author

Cong Li

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Preprint 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, Peixi Peng, Yisen Zhao et al. · 0 citations