1 code implementation • 25 May 2021 • Pierre-François Massiani, Steve Heim, Friedrich Solowjow, Sebastian Trimpe
Although it is often not possible to compute the minimum required penalty, we reveal clear structure of how the penalty, rewards, discount factor, and dynamics interact.
1 code implementation • 6 Jun 2020 • Dominik Baumann, Friedrich Solowjow, Karl H. Johansson, Sebastian Trimpe
In this paper, we propose a method that identifies the causal structure of control systems.
1 code implementation • 28 Jul 2022 • Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe
However, in practice, many systems also exhibit uncertainty in the form of changes over time, e. g., due to weight shifts or wear and tear, leading to decreased performance or instability of the learning-based controller.
no code implementations • 27 May 2018 • Arash Mehrjou, Friedrich Solowjow, Sebastian Trimpe, Bernhard Schölkopf
Apart from its application for encoding a sequence of observations, we propose to use the compression achieved by this encoding as a criterion for model selection.
no code implementations • 5 Mar 2018 • Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe
Common event-triggered state estimation (ETSE) algorithms save communication in networked control systems by predicting agents' behavior, and transmitting updates only when the predictions deviate significantly.
1 code implementation • L4DC 2020 • Mona Buisson-Fenet, Friedrich Solowjow, Sebastian Trimpe
Despite the availability of ever more data enabled through modern sensor and computer technology, it still remains an open problem to learn dynamical systems in a sample-efficient way.
no code implementations • 23 Apr 2020 • Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe
Evaluating whether data streams are drawn from the same distribution is at the heart of various machine learning problems.
no code implementations • 2 Feb 2021 • Katharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Michael Tiemann, Sebastian Trimpe
On the other hand, classical numerical integrators are specifically designed to preserve these crucial properties through time.
no code implementations • 5 Apr 2022 • Sebastian Schlor, Friedrich Solowjow, Sebastian Trimpe
However, they usually come with a critical assumption - access to an accurate model of the system.
no code implementations • 23 Aug 2022 • Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe
The results demonstrate that ET-GP-UCB is readily applicable without prior knowledge on the rate of change.
1 code implementation • 23 Feb 2023 • Pierre-François Massiani, Mona Buisson-Fenet, Friedrich Solowjow, Florent Di Meglio, Sebastian Trimpe
Establishing these properties is challenging, especially when no analytical model is available and they are to be inferred directly from measurement data.
1 code implementation • 8 Mar 2023 • Behnam Khojasteh, Friedrich Solowjow, Sebastian Trimpe, Katherine J. Kuchenbecker
Machine learning and deep learning have been used extensively to classify physical surfaces through images and time-series contact data.
no code implementations • 6 Jun 2023 • Andrés Felipe Posada-Moreno, Kai Müller, Florian Brillowski, Friedrich Solowjow, Thomas Gries, Sebastian Trimpe
Subsequently, we demonstrate the potential of CE methods, by applying them in three industrial use cases.