arxiv
PublishedOctober 8, 2026 at 4:00 AM
Safe Meta-Policy Design with Risk Control
Publisher summary· verbatim
arXiv:2610.10393v1 Announce Type: cross 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 improv
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Originally published on arxiv ↗