AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Naive on-policy RL is often bottlenecked by the capabilities of the base model --- insufficient coverage can result in an inability to learn from certain rewards. At the same time, rewards in modern post-training systems often come from rich textual sources, e.g. judge models with a rubric of criteria. Can we utilize s...
A new distributional optimization algorithm, Decomposition-Aware Distributional Optimization (DADO), is proposed and demonstrated that can leverage any decomposability defined by a junction tree on the design variables, to make optimization more efficient.
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