PEARL: Process-Experience Aware Reinforcement Learning for Multi-Turn Agents

Jie Yang, Mianqiu Huang, Yiwei Zhao +3

Terminal rewards make multi-turn agents trainable without step-level annotations, but group-relative advantages provide little guidance about which intermediate decisions to adjust…