Si Xu

RLux-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action Models

Recent advances in vision-language-action (VLA) models have motivated the extension of their capabilities to embodied settings, where reinforcement learning (RL) offers a principled way to optimize task success through interaction. However, existing methods remain fragmented, lacking both a unified …