Maximilian Schenke
Orcid: 0000-0001-5427-9527
According to our database1,
Maximilian Schenke
authored at least 7 papers
between 2020 and 2024.
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Bibliography
2024
Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum.
CoRR, 2024
2023
Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems.
IEEE Access, 2023
2022
Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept (Supplementary Material).
Dataset, May, 2022
Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control.
CoRR, 2022
2021
gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems.
J. Open Source Softw., 2021
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.
CoRR, 2021
2020
Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept.
IEEE Trans. Ind. Informatics, 2020