by Nicole Piontek | Mar 7, 2023
Recent successes aside, reinforcement learning (RL) still faces significant challenges in its application to the real-world robotics domain. Guiding the learning process with additional knowledge offers a potential solution, thus leveraging the strengths of data- and...
by Nicole Piontek | Feb 2, 2023
In machine learning, fewer features reduce model complexity. Carefully assessing the influence of each input feature on the model quality is therefore a crucial preprocessing step. We propose a novel feature selection algorithm based on a quadratic unconstrained...
by flame info | Sep 26, 2022
In times of climate change, growing world population, and the resulting scarcity of resources, efficient and economical usage of agricultural land is increasingly important and challenging at the same time. To avoid disadvantages of monocropping for soil and...
by flame info | Sep 26, 2022
Scheduling various data-intensive tasks over the processing units of a server has been a heavily studied but still challenging effort. In order to utilize modern multicore servers well, a good scheduling mechanism has to be conscious of different dimensions of...
by flame info | Sep 26, 2022
To prevent undesirable effects during milling processes, online predictions of upcoming events can be used. Process simulations enable the capability to retrieve additional knowledge about the process, since their application allows the generation of data about...
