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#machine learning Preprint Oct 2026

Safe Meta-Policy Design with Risk Control

Models can be retrained as new data arrive, but deploying every new version risks replacing a good policy with a worse one. We study how to plan policy updates (i.e., meta-policy) before future candidates are trained, balancing the benefits of improvement against the risk of performance regression. Our offline meta-pol...

Wen-Bin Zhou, M. Li, Shi-Xiang Zhu · 0 citations

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