AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Experimental results on Maximum Cut and Maximum Independent Set indicate that incorporating population structure is advantageous for learned optimization methods and opens new connections between NCO and classical population-based search.
This work defines efficient explorers as agents that prioritize generating generalizable experience, i.e., data that supports learning models capable of predicting and adapting across the environment, and demonstrates that optimizing for these agents gives rise to an automatic curriculum of progressively more complex b...
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