arxiv
PublishedOctober 2, 2026 at 4:00 AM
RL Starts before RL: On Policy Distillation for Better Reinforcement Learning
Publisher summary· verbatim
arXiv:2609.28145v2 Announce Type: replace Abstract: Reinforcement learning (RL) improves reasoning, but its performance depends on the policy from which training begins. We study on-policy distillation (OPD) as a preparation stage for RL and ask whether its benefits extend beyond improvements in the
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Originally published on arxiv ↗