CDRL paper: RL with automated reasoning accelerates neutrino model discovery
DanielWhiteson · x · 2026-08-26
Piyush Jha et al. introduced Certification-Driven Reinforcement Learning (CDRL), a framework that leverages structured feedback from symbolic reasoning tools for scientific discovery. By converting violation certificates into reusable constraints, CDRL guides agents away from invalid solutions. In neutrino flavor model discovery, it achieved up to 1.95x higher valid model rates while evaluating 4x fewer candidates.
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