Computationally efficient Gauss-Newton reinforcement learning for model predictive control
arXiv:2508.02441v2 Announce Type: replace-cross
Abstract: 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), MPC offers…