SAPO: Single-Rollout Autoregressive Policy Optimization for Agentic Reinforcement Learning.

arXiv:2608.19842v4 Announce Type: replace Abstract: Agentic reinforcement learning (RL) has emerged as an important post-training approach for enhancing the capabilities of Large Language Models (LLMs). However, existing methods face a trade-off between policy