1 code implementation • 23 Feb 2022 • Honghu Xue, Benedikt Hein, Mohamed Bakr, Georg Schildbach, Bengt Abel, Elmar Rueckert
We propose a deep reinforcement learning approach for solving a mapless navigation problem in warehouse scenarios.
no code implementations • 5 Jul 2021 • Honghu Xue, Rebecca Herzog, Till M Berger, Tobias Bäumer, Anne Weissbach, Elmar Rueckert
The benefit of ProMPs is that the features are directly learned from the data and ProMPs can capture important features describing the trajectory shape, which can easily be extended to other tasks.
no code implementations • 25 Mar 2020 • M. Tuluhan Akbulut, Erhan Oztop, M. Yunus Seker, Honghu Xue, Ahmet E. Tekden, Emre Ugur
To equip robots with dexterous skills, an effective approach is to first transfer the desired skill via Learning from Demonstration (LfD), then let the robot improve it by self-exploration via Reinforcement Learning (RL).