DyGRO-VLA

DyGRO-VLA is a dynamic grouping residual reinforcement learning framework for adaptive embodied policies.

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Recommended citation: Sixu Lin, Yunpeng Qing, Litao Liu, Ming Zhou, Ruixing Jin, Xiaoyi Fan, and Guiliang Liu. DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization. ICML 2026.
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