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Han-Yu Li

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#machine learning Preprint Sep 2026

CLOOPD: Closing the Learner Loop in On-Policy Distillation

On-policy distillation (OPD) pays twice for each fresh batch: the student generates trajectories and a stronger teacher scores them. Existing methods improve which trajectories are scored and how the teacher signal is constructed, but usually consume it with one actor update. We introduce CLOOPD, a closed-loop framewor...

Keye Zheng, Han-Yu Li, Zhan Cheng et al. · 0 citations