AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes a steering agent that supervises execution on the fly and steers the system back on track when drift occurs, and jointly train the two paths with reinforcement learning, combining a pairwise ranking objective with group-relative policy optimization (GRPO).
This work shows that an optimal attacker policy on a two-terminal series-parallel attack graph is an index policy: at each step, the attacker selects an available control with the largest value of an extension of the classical Gittins index, the first optimal index characterization for adaptive attackers in security ga...
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