Noise Space Learning for VLA Adaptation
Overview
Noise Space Learning (NSL) adapts pretrained VLA models by learning noise distributions, supporting PPO, SAC, and AWR. Tested on LIBERO, RoboTwin, and real-robot tasks with theoretical and empirical analysis.,
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- arXiv Robotics — research abstractsNoise Space Learning for VLA Adaptation
NSL adapts pretrained VLA models by learning noise distributions. It supports PPO, SAC, and AWR, with theoretical and empirical analysis across LIBERO, RoboTwin, and real-robot tasks.
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