Author

Shuyan Guan

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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. · arXiv.org · 0 citations

Preprint Aug 2026

Beyond the Stability-Exploration Dilemma: Environmental Regularization for LLM Policy Optimization

Environment-Regularized Policy Optimization (ERPO) replaces the standard Policy-KL regularizer while achieving effective control over query distribution drift, delivering stronger accuracy and substantially more stable behavior under high-temperature decoding and long-horizon training.

Xianlei Zhou, Xiangdi Meng, Yu He et al. · 0 citations