Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers.

arXiv:2510.00915v5 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) replaces costly human labeling with automated verifiers. To reduce verifier hacking, many RLVR systems binarize rewards to $\{0,1\}$, but imperfect