Author

Pei-Chao Lai

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#machine learning Preprint Sep 2026

Cross-Rollout Bellman Closure for Long-Horizon Agentic Reinforcement Learning

Cross-Rollout Bellman Closure (CRBC) is introduced, which merges each rollout group into a finite empirical process with absorbing success and failure boundaries and evaluates its behavior-policy Bellman fixed point with one linear solve.

Yang-Yang Ren, Hao-Dong Zhu, Lin-Lin Yang et al. · 0 citations

Jul 2026

DIRECT: Direct Decoding for Efficient and Aligned Sequence Labeling with Large Language Models

DI performs Direct Preference Optimization (DPO) after supervised fine-tuning to strengthen task alignment with human preferences, and introduces a controlled decoding process that enforces fixed output formats and restricts predictions to candidate sets.

Yilei Wang, Jiaxin Gan, Kexuan Zhang et al. · arXiv.org · 0 citations