Maximilian Schenke

According to our database, Maximilian Schenke authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum.

Maximilian Schenke, Shalbus Bukarov

CoRR, 2024

2023

Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems.

Daniel Weber, Maximilian Schenke, Oliver Wallscheid

IEEE Access, 2023

2022

Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept (Supplementary Material).

Maximilian Schenke, Wilhelm Kirchgässner, Oliver Wallscheid

Dataset, May, 2022

Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control.

Daniel Weber, Maximilian Schenke, Oliver Wallscheid

CoRR, 2022

2021

gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems.

Praneeth Balakrishna, Gerrit Book, Wilhelm Kirchgässner, Maximilian Schenke, Arne Traue, Oliver Wallscheid

J. Open Source Softw., 2021

Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.

Maximilian Schenke, Oliver Wallscheid

CoRR, 2021

2020

Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept.

Maximilian Schenke, Wilhelm Kirchgässner, Oliver Wallscheid

IEEE Trans. Ind. Informatics, 2020