AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A graph-attention network that reads the current and proposed states of moving agents together with locally relevant stationary obstacles and returns one collision-risk score per moving agent, which any controller can use to accept, repair, replan, or postpone a proposed step.
Large language model agents deployed without a central controller are often assumed to require communication to coordinate their actions. We ask what remains possible without it: when independent instances of the same model cannot communicate, can they still reason about their counterparts well enough to exceed the sta...
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