Reinforcement-Learning-based Adaptive Optimal Control for Arbitrary Reference Tracking. - Florian Köpf; Johannes Westermann; Michael Flad; Sören Hohmann (CoRR, 2019)

Adaptive optimal control for reference tracking independent of exo-system dynamics. - Florian Köpf; Johannes Westermann; Michael Flad; Sören Hohmann (Neurocomputing, 2020)

Adaptive Sampling for Global Meta Modeling Using a Gaussian Process Variance Measure. - Johannes Westermann; Antonio Zea 001; Uwe D. Hanebeck (ECC, 2021)

Proximal Policy Optimization for Tracking Control Exploiting Future Reference Information. - Jana Mayer; Johannes Westermann; Juan Pedro Gutiérrez H. Muriedas; Uwe Mettin; Alexander Lampe (CoRR, 2021)

Cost-aware Adaptive Sampling for Global Metamodeling Using Voronoi Tessellation. - Johannes Westermann; Lucas Domingo Alber (ECC, 2022)

Receding Horizon Cost-Aware Adaptive Sampling for Environmental Monitoring. - Johannes Westermann; Jana Mayer; Janko Petereit; Benjamin Noack (IEEE Control. Syst. Lett., 2023)