Inverse optimal control (IOC) is an advanced methodological framework that seeks to deduce the underlying cost or reward functions based solely on the observation of optimal behaviour. Traditionally, ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...