Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control. - Sebastian Hirt; Maik Pfefferkorn; Rolf Findeisen (CDC, 2024)

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. - Sebastian Hirt; Andreas Höhl; Joachim Schaeffer; Johannes Pohlodek; Richard D. Braatz; Rolf Findeisen (CoRR, 2024)

Stability-informed Bayesian Optimization for MPC Cost Function Learning. - Sebastian Hirt; Maik Pfefferkorn; Ali Mesbah 002; Rolf Findeisen (CoRR, 2024)

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. - Sebastian Hirt; Andreas Höhl; Johannes Pohlodek; Joachim Schaeffer; Maik Pfefferkorn; Richard D. Braatz; Rolf Findeisen (CoRR, 2024)

Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control. - Sebastian Hirt; Lukas Theiner; Rolf Findeisen (CoRR, 2024)

Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles. - Lukas Theiner; Sebastian Hirt; Alexander Steinke; Rolf Findeisen (CoRR, 2025)