Computing device configuration based on latent space search

A network node configured to generate and return a configuration of a computing device in a network, the network node comprising:

• processing circuitry;
• memory coupled with the processing circuitry, wherein the memory includes instructions that when executed by the processing circuitry causes the network node to perform operations comprising:
• receive data comprising (i) an observation for the computing device or the network for a second time interval, the observation comprising one or more of a plurality of configurations of the computing device, a plurality of performance metrics, and/or a plurality of key performance indicators, KPIs, and (ii) an intent comprising one or more of a performance metric, a KPI, and a configuration parameter;
• generate, with a first machine learning, ML model, a plurality of configurations for the computing device for the second time interval based on a search on a plurality of latent variables in a latent space;
• return, from the search, a configuration for the computing device for the second time interval that best satisfies the performance metric and/or the KPI of the intent based on a search on the plurality of latent variables in the latent space, wherein the configuration is constrained by at least one of the performance metric, the KPI, and the configuration parameter of the intent;
• and
• transmit the configuration for the computing device.