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arXiv — cs.AI

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Beyond On-Policy vs. Off-Policy: At What Level Should LLM Agent Distillation Follow the Student?

arXiv:2610.31918v1 Announce Type: new Abstract: Distilling interactive LLM agents requires choosing between teacher-generated demonstrations and student-generated experience, corresponding broadly to off-policy and on-policy distillation. While both have proven effective, we…

arXiv — cs.AIBy: Ya Gao, Zhengtao Zou, Pekka MarttinenOctober 26, 2026 (yesterday)
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  • arXiv:2610.31918v1 Announce Type: new Abstract: Distilling interactive LLM agents requires choosing between teacher-generated demonstrations and student-generated experience, corresponding broadly to off-policy and on-policy distillation
  • While both have proven effective, we…
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Beyond On-Policy vs. Off-Policy: At What Level Should LLM Agent Distillation Follow the Student?

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