AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces a permutation-equivariant neural operator for trajectory planning of spacecraft swarms, and maps distributions of spacecraft initial states, target states, and obstacle initial states to trajectories which avoid collision and conserve fuel.
Stochastic mean-field control (MFC) provides a fundamental framework for coordinating large populations of interacting agents under uncertainty, with a wide range of applications. Existing numerical and deep-learning methods solve one MFC problem instance at a time and must be re-optimized whenever the task changes. In...
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