AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SAIGE, a lightweight multi-agent collaboration mechanism based on Semantic-Aware Incremental Graph Evolution, is proposed, suggesting that multi-agent superiority is bounded by task structure rather than universal, and that more agents do not necessarily make a system more intelligent.
This work proposes PRISM, a new multi-reward RL framework built upon the idea of policy-space decomposition and composition, which alleviates the potential conflict during multi-reward policy optimization, while enabling controllability during inference by flexible policy composition.
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