Maximilian Schenke
Orcid: 0000-0001-5427-9527
According to our database1,
Maximilian Schenke authored at least 10 papers
between 2020 and 2026.
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Bibliography
2026
Container Unloading via Reinforcement Learning: Picking Order, Deadlock Avoidance, and Proof-of-Concept Simulation.
CoRR, May, 2026
Optimal Control of Voltage-Forming Grid Inverters by Model Predictive Control and Reinforcement Learning.
IEEE Access, 2026
Safe Reinforcement Learning Direct Torque Control for Continuous Control Set Permanent Magnet Synchronous Motor Drives.
IEEE Access, 2026
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