AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work derives an explicitly computable sufficient disturbance budget under which the clearance guarantee degrades gracefully, and proves that the clearance margin is never violated and that the prescribed clearance is restored exponentially, yielding an explicit clearance floor.
Agentic reinforcement learning (ARL) with verifiable rewards improves the ability of large language models (LLMs) to tackle knowledge-intensive tasks by learning to interleave search and reasoning. However, most existing ARL methods optimize only LLM-generated tokens and treat retrieved evidence as environment observat...
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