RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy
Flow-matching Vision-Language-Action (VLA) policies have shown strong potential for robotic manipulation but often suffer from compounding errors caused by distribution shifts during deployment. While offline reinforcement learning (RL) provides a practical way to improve deployed policies using rollout data, existing...
Zhengyang Yan, Junhao Li, Fangqi Zhu et al.
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