AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The results suggest adequacy for planning-oriented world models should be measured on the search distribution or by play directly, not by prediction accuracy on sampled transitions.
A code world model accepted by a sampling gate can be exactly right on everything the gate can see and arbitrarily wrong beyond it. We characterize what a certified model can know, and what its errors can cost, when the omission is an annular freeze mode enclosing an unreachable interior. The gate quotient makes the qu...
An LLM synthesizes an executable world model that a classical planner searches, and the model is accepted when it reproduces sampled transitions, and it is asked what that acceptance certifies in continuous control.
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