Calibrate the Decisions That Change the Future: On-Policy Post-Training Quantization for Multimodal Large Language Models
OnPTQ is proposed, an on-policy framework that calibrates on trajectories visited by the current quantized policy, and derives a Decision--Consequence bound linking behavioral deviation to current policy discrepancy and action-conditioned future-value span.