AI RESEARCH
Beyond Importance Sampling: Rejection-Gated Policy Optimization
arXiv CS.AI
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ArXi:2604.14895v1 Announce Type: cross We propose a new perspective on policy optimization: rather than reweighting all samples by their importance ratios, an optimizer should select which samples are trustworthy enough to drive a policy update. Building on this view, we