Training design generative models using simulation

One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of:

• receiving first requirement data;
• performing, using a simulator and a first trained machine learning model, one or more operations to generate one or more requirement-satisfying designs based on the first requirement data, wherein the first trained machine learning model is trained to generate one or more first designs based on the first requirement data;
• performing, based on the one or more requirement-satisfying designs and the first requirement data, one or more training operations to retrain the first trained machine learning model to generate a second trained machine learning model;
• and
• generating, based on one or more first requirements and using the second trained machine learning model, one or more first predicted designs.

A system, comprising:

• one or more memories storing instructions;
• and
• one or more processors that are coupled to the one or more memories and, when executing the instructions, are configured to:
• receive first requirement data;
• perform, using a simulator and a first trained machine learning model, one or more operations to generate one or more requirement-satisfying designs based on the first requirement data, wherein the first trained machine learning model is trained to generate one or more first designs based on the first requirement data;
• perform, based on the one or more requirement-satisfying designs and the first requirement data, one or more training operations to retrain the first trained machine learning model to generate a second trained machine learning model;
• and
• generate, based on one or more first requirements and using the second trained machine learning model, one or more first predicted designs.