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On‑policy distillation works with limited additional data

AutoDAgger recovers teacher trajectories online, letting compact policies inherit large‑model skill while requiring only modest extra data. By embedding the teacher’s corrective behavior directly into the student’s rollout loop, the method sidesteps the costly separate data‑collection stage that ha…

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  1. 2026-10-31 06:00 · DEV Community — Machine Learning
    On‑policy distillation works with limited additional data

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