1 code implementation • 6 Feb 2021 • Jan Dohmen, Roman Liessner, Christoph Friebel, Bernard Bäker
Reinforcement Learning (RL) might be very promising for solving a variety of challenges in the field of autonomous driving due to its ability to find long-term oriented solutions in complex decision scenarios.
no code implementations • 10 Jan 2021 • Adrian Prochaska, Julien Pillas, Bernard Bäker
The performance compared to the existing best strategy is the same or better in each example.
no code implementations • 31 Dec 2020 • Philipp Gesner, Frank Kirschbaum, Richard Jakobi, Bernard Bäker
- This work has been submitted to IFAC for possible publication - Models of traction batteries are an essential tool throughout the development of automotive drivetrains.
no code implementations • 7 Dec 2020 • Philipp Gesner, Christian Gletter, Florian Landenberger, Frank Kirschbaum, Lutz Morawietz, Bernard Bäker
Dynamic models of the battery performance are an essential tool throughout the development process of automotive drive trains.
no code implementations • 29 Nov 2020 • Adrian Prochaska, Julien Pillas, Bernard Bäker
In a best case scenario, the presented strategy is able to decrease the number of points by up to 30% compared to a sequential space-filling design while outperforming other existing active learning strategies.