TAPO: Transition-Aware Policy Optimization for LLM Agents

Cong Li, Peixi Peng, Yisen Zhao +4

Recently, Reinforcement Learning (RL) has emerged as a crucial paradigm for the post-training of Large Language Model (LLM) agents. However, existing methods predominantly rely on…