A Taxonomy of Process Control & Optimization from Model Predictive Control to Reinforcement Learning

‪@Imubit‬

The modern AI framework of Reinforcement Learning (RL) has expanded the potential of how AI can be used in industrial operations to include closed loop control and optimization. This episode dives deep into the application of RL in closed loop control and the pros and cons of RL compared to traditional Model Predictive Control (MPC) techniques. Watch now to learn how to decide which approach is best for your process optimization scenario.