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#artificial intelligence Preprint Sep 2026

On the Off-Policy Teacher in On-Policy Distillation

On-policy distillation (OPD) has recently emerged as a promising post-training paradigm in which the student learns from trajectories generated by its own policy under dense teacher supervision. However, OPD introduces a fundamental asymmetry: although the sampled trajectories are on-policy for the student, they are of...

Lang-Lin Huang, Hao Liu, Mononito Goswami et al. · 0 citations

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