AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work decomposes each operator's utility into a coverage effect on evidence omitted by retention and a signed replacement effect on raw evidence that already fits, which explains why the preferred action changes with relative budget pressure.
These findings position ES as a distinct reasoning post-training paradigm rather than a less effective, memory-efficient alternative to GRPO, and study how hyperparameter design affects the effectiveness of ES, demonstrating that ES requires a smaller population size in a larger LLM.
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