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Author

Xinyu Hu

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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. · 1 citation

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