Author

Jun-Yu Lu

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#machine learning Preprint Oct 2026

Cross-Behavior Policy Optimization: Unified Learning from Offline Demonstrations and On- and Off-Policy Rollouts via a Shared Regression Target

Reasoning post-training draws on offline demonstrations and policy-generated rollouts, yet conventional supervised fine-tuning (SFT) followed by reinforcement learning (RL) separates their objectives and limits continued reuse of collected responses. We propose \textbf{Cross-Behavior Policy Optimization} (CBPO), which...

Du Cheng, Jun-Yu Lu, Jing-Fan Zhang et al. · 0 citations

#machine learning Preprint Sep 2026

OPTS-TTPO: Enhancing Finite-Sample Policy-Gradient Learning with Tree Search

The policy-gradient theorem gives the exact gradient under the current policy, but finite on-policy samples may miss rare high-return trajectories. We study whether tree search improves their coverage within a fixed budget while controlling gradient bias. We introduce On-Policy Parallel Tree Search (OPTS) and Tree Traj...

Jun-Yu Lu, Shi-Chao Weng, Zhi-Qiang Wang et al. · 0 citations

#natural language process... Preprint Aug 2026

Hindsight Memory-PRM: Supervising Memory Management with Auditable Hindsight Credit

Hindsight Memory-PRM exploits this audit trail twice: offline to train an operation-conditioned memory-utility critic, and online, where retrievals, citations, and one controlled deletion-and-reanswer per probe settle an intervention-calibrated entry-level presence credit.

H. Jia, Yang Liu, Ying-Guang Yang et al. · 0 citations