RedFlow: Redirect Failure into Action-level Corrections for Flow-matching VLA Policy
RedFlow is a fine-grained offline RL framework that fixes errors in flow-matching Vision-Language-Action policies by turning failures into corrective signals. It uses context and successful alternatives to guide the policy, allowing it to learn robust recovery behaviors from fixed data without needing new human demonstrations or online interaction.