Dominik Baumann

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 53

Top Topics

Reinforcement Learning

Feedback Control

Joint Optimization

Top Venues

ACM Trans. Cyber Phys. Syst.

Publications

Dominik Baumann, Thomas B. Schön
Safe Reinforcement Learning in Uncertain Contexts. IEEE Trans. Robotics 40 (2024)
Dominik Baumann, Thomas B. Schön
Safe reinforcement learning in uncertain contexts. CoRR (2024)
Dominik Baumann, Thomas B. Schön
On the trade-off between event-based and periodic state estimation under bandwidth constraints. CoRR (2023)
Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations. CoRR (2023)
Dominik Baumann, Krzysztof Kowalczyk, Koen Tiels, Pawel Wachel
A Computationally Lightweight Safe Learning Algorithm. CDC (2023)
Lukas Kesper, Sebastian Trimpe, Dominik Baumann
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control. CoRR (2023)
Lukas Kesper, Sebastian Trimpe, Dominik Baumann
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control. L4DC (2023)
Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems. Artif. Intell. 320 (2023)
Dominik Baumann, Krzysztof Kowalczyk, Koen Tiels, Pawel Wachel
A computationally lightweight safe learning algorithm. CoRR (2023)
Alexander Gräfe, Dominik Baumann, Sebastian Trimpe
Towards remote fault detection by analyzing communication priorities. CDC (2022)
Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR (2022)
Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
Scalable Safe Exploration for Global Optimization of Dynamical Systems. CoRR (2022)
Fabian Mager, Dominik Baumann, Carsten Herrmann, Sebastian Trimpe, Marco Zimmerling
Scaling beyond Bandwidth Limitations: Wireless Control with Stability Guarantees under Overload. ACM Trans. Cyber Phys. Syst. 6 (3) (2022)
Alexander Gräfe, Dominik Baumann, Sebastian Trimpe
Towards remote fault detection by analyzing communication priorities. CoRR (2022)
Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe
Identifying Causal Structure in Dynamical Systems. Trans. Mach. Learn. Res. 2022 (2022)
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
GoSafe: Globally Optimal Safe Robot Learning. CoRR (2021)
Niklas Funk, Dominik Baumann, Vincent Berenz, Sebastian Trimpe
Learning event-triggered control from data through joint optimization. IFAC J. Syst. Control. 16 (2021)
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
GoSafe: Globally Optimal Safe Robot Learning. ICRA (2021)
Fabian Mager, Dominik Baumann, Carsten Herrmann, Sebastian Trimpe, Marco Zimmerling
Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload. CoRR (2021)
Dominik Baumann, Fabian Mager, Ulf Wetzker, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe
Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges. Proc. IEEE 109 (4) (2021)
Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) (2021)
Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe
Robot Learning With Crash Constraints. IEEE Robotics Autom. Lett. 6 (2) (2021)
Dominik Baumann, Fabian Mager, Marco Zimmerling, Sebastian Trimpe
Control-Guided Communication: Efficient Resource Arbitration and Allocation in Multi-Hop Wireless Control Systems. IEEE Control. Syst. Lett. 4 (1) (2020)
Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe
Robot Learning with Crash Constraints. CoRR (2020)
Niklas Funk, Dominik Baumann, Vincent Berenz, Sebastian Trimpe
Learning Event-triggered Control from Data through Joint Optimization. CoRR (2020)
Dominik Baumann, Fabian Mager, Romain Jacob, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe
Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees. ACM Trans. Cyber Phys. Syst. 4 (2) (2020)
Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe
Identifying Causal Structure in Dynamical Systems. CoRR (2020)
Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe
A Kernel Two-sample Test for Dynamical Systems. CoRR (2020)
Alonso Marco, Alexander von Rohr, Dominik Baumann, José Miguel Hernández-Lobato, Sebastian Trimpe
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures. CoRR (2020)
Dominik Baumann, Fabian Mager, Ulf Wetzker, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe
Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges. CoRR (2020)
Sebastian Trimpe, Dominik Baumann
Resource-aware IoT Control: Saving Communication through Predictive Triggering. CoRR (2019)
José Mario Mastrangelo, Dominik Baumann, Sebastian Trimpe
Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems. CoRR (2019)
Dominik Baumann, Fabian Mager, Romain Jacob, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe
Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees. CoRR (2019)
Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling
Fast feedback control and coordination with mode changes for wireless cyber-physical systems: demo abstract. IPSN (2019)
Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties. CoRR (2019)
Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe
Event-triggered Pulse Control with Model Learning (if Necessary). ACC (2019)
Sebastian Trimpe, Dominik Baumann
Resource-Aware IoT Control: Saving Communication Through Predictive Triggering. IEEE Internet Things J. 6 (3) (2019)
Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling
Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems. CoRR (2019)
Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling
Feedback control goes wireless: guaranteed stability over low-power multi-hop networks. ICCPS (2019)
Dominik Baumann, Fabian Mager, Marco Zimmerling, Sebastian Trimpe
Control-guided Communication: Efficient Resource Arbitration and Allocation in Multi-hop Wireless Control Systems. CoRR (2019)
Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe
Event-triggered Pulse Control with Model Learning (if Necessary). CoRR (2019)
Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling
Feedback Control Goes Wireless: Guaranteed Stability over Low-power Multi-hop Networks. CoRR (2018)
Dominik Baumann, Fabian Mager, Harsoveet Singh, Marco Zimmerling, Sebastian Trimpe
Evaluating Low-Power Wireless Cyber-Physical Systems. Bench@CPSWeek (2018)
Alon Ascoli, Dominik Baumann, Ronald Tetzlaff, Leon O. Chua, Manfred Hild
Memristor-enhanced humanoid robot control system - Part I: Theory behind the novel memcomputing paradigm. Int. J. Circuit Theory Appl. 46 (1) (2018)
Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe
Event-Triggered Learning for Resource-Efficient Networked Control. ACC (2018)
Alon Ascoli, Dominik Baumann, Ronald Tetzlaff, Leon O. Chua, Manfred Hild
Mem-adaptive computing - Part II: Circuit design. ISCAS (2018)
Dominik Baumann, Sebastian Trimpe, Jia-Jie Zhu, Georg Martius
Deep Reinforcement Learning for Event-Triggered Control. CDC (2018)
Alon Ascoli, Dominik Baumann, Ronald Tetzlaff, Leon O. Chua, Manfred Hild
Mem-adaptive computing - Part I: Theory. ISCAS (2018)
Fabian Mager, Dominik Baumann, Sebastian Trimpe, Marco Zimmerling
Toward fast closed-loop control over multi-hop low-power wireless networks: poster abstract. IPSN (2018)
Dominik Baumann, Alon Ascoli, Ronald Tetzlaff, Leon O. Chua, Manfred Hild
Memristor-enhanced humanoid robot control system - Part II: Circuit theoretic model and performance analysis. Int. J. Circuit Theory Appl. 46 (1) (2018)
Dominik Baumann, Jia-Jie Zhu, Georg Martius, Sebastian Trimpe
Deep Reinforcement Learning for Event-Triggered Control. CoRR (2018)
Dominik Baumann, Fabian Mager, Harsoveet Singh, Marco Zimmerling, Sebastian Trimpe
Evaluating Low-Power Wireless Cyber-Physical Systems. CoRR (2018)
Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe
Event-triggered Learning for Resource-efficient Networked Control. CoRR (2018)