Shu Zhao, Tan Yu · 2026 · arXiv
DOI: 10.48550/arXiv.2610.28586 · open-access PDF
代理在政策上的蒸(OPD)训练学生的代理在自己的轨道上,而老师得分每一个代币。对错误的自然解释是复杂的错误:学生的错误携带其轨迹超出教师可靠的区域,所以最近的方法继续在该区域内进行培训,通过剧情长度的课程,教师引导的转换,前缀重播或教师介入,其中两者不同意。
Machine translation (Meta M2M100); the English original follows.
Agentic on-policy distillation (OPD) trains a student agent on its own trajectories while a teacher scores every token. A natural explanation of where it goes wrong is compounding error: the student's mistakes carry its trajectories beyond the region where the teacher is reliable, so recent methods keep training inside that region, through episode-length curricula, teacher-guided turns, prefix replay, or teacher intervention where the two disagree. We show this explanation is incomplete. From the states where the student departs most from the teacher, the teacher's own takeovers still finish t
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