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

arXiv:2610.14636v1 Announce Type: new Abstract: Terminal rewards make multi-turn agents trainable without step-level annotations, but group-relative advantages provide little guidance about which intermediate decisions to adjust. Failed trajectories also conta