DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling.

arXiv:2610.04933v2 Announce Type: replace-cross Abstract: Scaling robot data and model capacity has improved Vision-Language-Action (VLA) policies, but further progress is constrained by the high cost of robotic data. Verifier-guided test-time scaling offers a