arxiv
PublishedMay 29, 2026 at 4:00 AM
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A Predictive Law for On-Policy Self-Distillation From World Feedback
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arXiv:2605.30070v1 Announce Type: cross Abstract: Moving beyond simple scalar rewards toward richer world feedback is a natural path to more scalable RL post-training. On-policy self-distillation (OPSD) is a promising recent approach that uses arbitrary feedback as learning signal, yet its reliabili
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Originally published on arxiv ↗