AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 4 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This work instantiate this problem in image generation and derive a reinforcement learning framework using multi-turn simulated users to maximize utility recovery under uncertainty and points toward a simple and scalable framework for training language model assistants to better disambiguate user intent by asking more...
It is proved that for tours of up to two targets the matching formulation solves the MDCVRP exactly in polynomial time for any number of depots, and that both algorithms are constant-factor approximations, with a tight factor of two, in the structured regimes.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.