AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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An Agentic Reward Black-box Optimization (ARBO) framework is proposed, in which an LLM agent builds the search strategy at run time from an evaluation history maintained as its persistent workspace, which comprises two components: observations maintained by the evaluation oracle and an agent-maintained belief that reco...
This work proposes to train an attention graph neural network by minimizing the finite-volume method (FVM) residuals of the governing equations to provide a practical training signal for neural surrogates and reduce the model development cost.
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