Computationally efficient Gauss-Newton reinforcement learning for model predictive control

Dean Brandner, Sebastien Gros, Sergio Lucia

Model predictive control (MPC) is widely used in process control due to its interpretability and ability to handle constraints. As a parametric policy in reinforcement learning (RL…