1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.SY2022★ 1 cited
Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control
Daniel Weber, Maximilian Schenke, Oliver Wallscheid
Reinforcement learning (RL) is a promising, upcoming topic in automatic control applications. Where classical control approaches require a priori system knowledge, data-driven cont…
cs.LG2021
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning
Maximilian Schenke, Oliver Wallscheid
Reinforcement learning (RL) is currently a popular research topic in control engineering and has the potential to make its way to industrial and commercial applications. Correspond…