AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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TrajEvolve reformulates step-level continuous credit assignment as a binary classification task, whether each step is necessary for task completion, and simplification not only reduces the learning difficulty but also enables step labels to be obtained through counterfactual verification, achieving precise identificati...
Outcome-reward reinforcement learning such as GRPO gives every token of a search-agent rollout the same advantage, although the rollout exercises two capabilities: finding evidence and using it. We show that accuracy improves without grounding: Search-R1 raises accuracy on all seven QA benchmarks, yet on Bamboogle the...
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