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Sebastian Trimpe
Symplectic Gaussian Process Dynamics

Feb 02, 2021
Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe


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Structured learning of rigid-body dynamics: A survey and unified view

Dec 11, 2020
A. René Geist, Sebastian Trimpe


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Robot Learning with Crash Constraints

Oct 16, 2020
Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe

* 8 pages, 5 figures, 1 table, 1 algorithm. Under review. Video demonstration of the experiments available at https://youtu.be/RAiIo0l6_rE . Algorithm implementation available at https://github.com/alonrot/classified_regression.git 
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Learning Event-triggered Control from Data through Joint Optimization

Aug 11, 2020
Niklas Funk, Dominik Baumann, Vincent Berenz, Sebastian Trimpe


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Identifying Causal Structure in Dynamical Systems

Jun 06, 2020
Dominik Baumann, Friedrich Solowjow, Karl H. Johansson, Sebastian Trimpe


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Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures

May 15, 2020
Alonso Marco, Alexander von Rohr, Dominik Baumann, José Miguel Hernández-Lobato, Sebastian Trimpe

* 14 pages, 4 figures, submitted 
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Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes

Apr 23, 2020
A. Rene Geist, Sebastian Trimpe

* To be published in 2nd Annual Conference on Learning for Dynamics and Control (L4DC), Proceedings of Machine Learning Research 2020 
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A Kernel Two-sample Test for Dynamical Systems

Apr 23, 2020
Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe


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Safe and Fast Tracking Control on a Robot Manipulator: Robust MPC and Neural Network Control

Dec 22, 2019
Julian Nubert, Johannes Köhler, Vincent Berenz, Frank Allgöwer, Sebastian Trimpe

* 8 pages, 4 figures, submitted to the Robotics and Automation Letters and to the International Conference on Robotics and Automation 
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Actively Learning Gaussian Process Dynamics

Nov 22, 2019
Mona Buisson-Fenet, Friedrich Solowjow, Sebastian Trimpe


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Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization

Oct 29, 2019
Matteo Turchetta, Andreas Krause, Sebastian Trimpe

* Submitted to IEEE Conference on Robotics and Automation 2020 (ICRA) 
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A Learnable Safety Measure

Oct 07, 2019
Steve Heim, Alexander von Rohr, Sebastian Trimpe, Alexander Badri-Spröwitz

* 10 pages, Conference on Robot Learning CoRL 2019, 3 figures 
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Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties

Jul 24, 2019
Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe

* Submitted to Journal (under review) 
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Trajectory-Based Off-Policy Deep Reinforcement Learning

May 14, 2019
Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel

* Includes appendix. Accepted for ICML 2019 
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Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study

Dec 18, 2018
Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe

* 11 pages, 7 figures and 4 tables. To appear in IEEE Transactions on Control Systems Technology 
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Event-triggered Learning for Resource-efficient Networked Control

Sep 27, 2018
Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe

* 7 pages, 4 figures, to appear in the 2018 American Control Conference (ACC) 
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Deep Reinforcement Learning for Event-Triggered Control

Sep 13, 2018
Dominik Baumann, Jia-Jie Zhu, Georg Martius, Sebastian Trimpe


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Gait learning for soft microrobots controlled by light fields

Sep 10, 2018
Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi

* 8 pages, 7 figures, to appear in the proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems 2018 
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Learning an Approximate Model Predictive Controller with Guarantees

Jun 11, 2018
Michael Hertneck, Johannes Köhler, Sebastian Trimpe, Frank Allgöwer

* 6 pages, 3 figures, to appear in IEEE Control Systems Letters 
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A Local Information Criterion for Dynamical Systems

May 27, 2018
Arash Mehrjou, Friedrich Solowjow, Sebastian Trimpe, Bernhard Schölkopf


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Probabilistic Recurrent State-Space Models

Feb 10, 2018
Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe


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On the Design of LQR Kernels for Efficient Controller Learning

Sep 20, 2017
Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe

* 8 pages, 5 figures, to appear in 56th IEEE Conference on Decision and Control (CDC 2017) 
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Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers

Mar 08, 2017
Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe

* Accepted final version to appear in 2017 IEEE International Conference on Robotics and Automation (ICRA) 
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Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization

Mar 03, 2017
Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe

* 7 pages, 6 figures, to appear in IEEE 2017 International Conference on Robotics and Automation (ICRA) 
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Robust Gaussian Filtering using a Pseudo Measurement

May 30, 2016
Manuel Wüthrich, Cristina Garcia Cifuentes, Sebastian Trimpe, Franziska Meier, Jeannette Bohg, Jan Issac, Stefan Schaal


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Automatic LQR Tuning Based on Gaussian Process Global Optimization

May 06, 2016
Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe

* 8 pages, 5 figures, to appear in IEEE 2016 International Conference on Robotics and Automation. Video demonstration of the experiments available at https://am.is.tuebingen.mpg.de/publications/marco_icra_2016 
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Depth-Based Object Tracking Using a Robust Gaussian Filter

Feb 19, 2016
Jan Issac, Manuel Wüthrich, Cristina Garcia Cifuentes, Jeannette Bohg, Sebastian Trimpe, Stefan Schaal


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A New Perspective and Extension of the Gaussian Filter

Jun 05, 2015
Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler, Stefan Schaal

* Will appear in Robotics: Science and Systems (R:SS) 2015 
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