most citedSynthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification

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math.OC2025

Rollout Then Optimize: A One-Step Newton Refinement of Learned Policies for Nonlinear Model Predictive Control

Andrea Ghezzi, Rudolf Reiter, Katrin Baumgärtner +2

We propose a computationally efficient rollout-then-optimize method to improve a learned control policy at deployment time. A learned policy provides a nominal trajectory, which is…

math.OC2024

Multi-Phase Optimal Control Problems for Efficient Nonlinear Model Predictive Control with acados

Jonathan Frey, Katrin Baumgärtner, Gianluca Frison +1

Computationally efficient nonlinear model predictive control relies on elaborate discrete-time optimal control problem (OCP) formulations trading off accuracy with respect to the c…