AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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ProVer, a framework that targets potentially pivotal decisions for fine-grained credit assignment in agentic reinforcement learning, is introduced, highlighting the effectiveness and efficiency of selectively targeting pivotal decisions for fine-grained credit assignment in agentic reinforcement learning.
The concept of in-context self-evolution is formalized and VALVE, a validated-gated framework for long-horizon skill optimization is introduced, which establishes finite convergence, provides theoretical guarantees for future-task gain and drawdown, and derive the validation and evaluation holdout sizes required for a...
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