AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Vision-language-action (VLA) policies based on flow matching generate action chunks through repeated evaluations of an action expert. Increasing the number of integration steps raises inference cost, but does not necessarily improve closed-loop success. We propose Coda, which reallocates part of this integration budget...
This work proposes ReflexVLA, an efficient VLA model designed for reaction-critical manipulation without large-scale robot-data pretraining, which enhances temporal reasoning through latent future prediction and multi-frame temporal fusion within the vision backbone, while reducing deployment latency through batched vi...
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