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Notes on reinforcement learning with verifiable rewards

1 note

  1. H$^2$SD: Hybrid Hindsight Self-Distillation

    Source note · Jul 21, 2026 · on-policy self-distillation, on-policy distillation

    The paper introduces H$^2$SD, a framework for reinforcement learning with verifiable rewards (RLVR) that addresses the limitations of previous methods. H$^2$SD uses a hybrid approach to self-distillation, where it…

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