DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling
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 an efficient alternative by sampling multiple action candidates and selecting the one most likely to lead to task succe...
Seongheon Park, Heecheol Kim, Shu-Lin Tian et al.
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