AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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RSE-Bench is introduced, to the authors' knowledge the first benchmark for evaluating skill self-evolution under ordinary, non-adversarial noise, and a method-agnostic framework supporting consistent noise injection and process diagnostics of actual exposure and skill updates is introduced.
This work introduces Co-RL, a framework in which multiple decoupled models, sharing no parameters, are simultaneously optimized through RL using rewards derived from their peers, and shows that unsupervised reasoning can emerge through cooperative multi-agent training.
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