Author

Fengge Wu

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#artificial intelligence Preprint Oct 2026

Transfer-Stratified On-Policy Distillation for RL-Improved Reasoning Teachers

Reinforcement learning can substantially improve a reasoning teacher, but it is unclear which of those improvements survive when the teacher supervises a smaller on-policy student. We study this question in mathematical reasoning by comparing teacher lineages before and after GRPO, multiple student scales, direct GRPO,...

Xiao-Yu Chen, Bo Shao, Tian-Gang Zhu et al. · 0 citations

Preprint Aug 2026

Temporal GRPO: Beyond Trajectory-Level Credit in Vision-Language-Action Reinforcement Learning

Temporal GRPO addresses the problem of trajectory-level credit aliasing in post-train VLA policies by constructing detectable task stages, aligning each rollout with stage-specific action intervals, and comparing only rollouts that have entered the same stage.

Yao Zhou, Hang Gao, Fengge Wu et al. · 2 citations