The integration of Deep Reinforcement Learning (DRL) in Model-Based Systems Engineering (MBSE) is a promising approach that can lead to significant benefits for system designers and developers. DRL is a branch of machine learning where an agent learns to make decisions by interacting with an environment,…
Model-based systems engineering (MBSE) is an auspicious approach to the virtual development of cyber-physical systems. The behavior of the system’s elements is thus represented by specialized simulation models that are integrated into the descriptive SysML-based system model. Although many simulation…