Teacher rollouts repair myopic token scoring in agent distillation

R2S uses successful teacher continuations to improve token-level supervision without task rewards during repair or student training.

Big Tech
Shu Zhao · Tan Yu

NVIDIA

Research Digest··3 min read
Zhao and Yu identify a failure mode in agentic on-policy distillation that cannot be explained solely by students drifting into states their teachers cannot handle.

The authors examined states late in student-generated episodes where the untrained student disagreed most strongly with its teacher.

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Research Digest

Written by Alwyn Sage, research editor. Plate by Ollie Flash, picture desk.

first published
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