Controlling a discontinuous manufacturing process

This invention proposes a significant advantage in the training process of reinforcement learning agents in an industrial environment. The main improvement is the reduction of time and computational resources in this training. Additionally, the methodology allows training a generic agent capable of efficiently controlling different variations of the industrial process.