Robotics

Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models

This paper proposes temporal-difference calibration for vision-language-action models in robotics, connecting uncertainty calibration to reinforcement learning by showing that minimizing a sequential Brier score recovers the value function. The method improves calibration of task-success confidence in sequential decision-making tasks.