Beyond Human Demonstrations: Diffusion-Based Reinforcement Learning to Generate Data for VLA Training | alphaXiv

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Problem Context and Motivation The development of Vision-Language-Action (VLA) models represents a significant advancement toward general-purpose robotics, enabling robots to understand natural language instructions and perform complex manipulation tasks. However, these models face a critical bottleneck: their reliance on massive datasets of human demonstrations for training. Collecting such data through manual teleoperation is extremely expensive, time-consuming, and often produces inconsistent trajectories with high variance. Figure 1: Overview of the proposed diffusion RL-powered VLA…

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