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20182026
most citedTowards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control

4 citations · 7 across the 5 of their papers we have counts for

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Showing 2021Show all

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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…