Author

Z.Y. Su

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Preprint Jul 2026

Verifier-Induced Support Reshaping in On-Policy Optimization

It is shown that on-policy reinforcement learning with verifiable rewards (RLVR) can improve the current objective while making successful behaviors for later objectives too rare to sample and reinforce, and effective rewardable support is defined as successful trajectories reachable within a fixed rollout budget.

Shaohang Wei, Z.Y. Su, Feifan Song et al. · 0 citations