Preprint
Jul 2026
Process Reward Informed Tree Rollout for Effective Multi-Turn RL
This work proposes Process-Scorer Guided Adaptive Tree Rollout (PATR), a quality-aware rollout framework for multi-turn agent RL that uses task-appropriate process feedback to score partial trajectories, selectively branches from promising states, reuses shared prefixes, and conservatively stops degenerate paths to reduce wasted sampling.
Xintong Li, Sha Li, Yuwei Zhang et al.
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