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Safe Meta-Policy Design with Risk Control

arXiv:2610.10393v1 Announce Type: new Abstract: 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 improve…

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  1. 2026-10-08 04:00 · arXiv stat.ML
    Safe Meta-Policy Design with Risk Control

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