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Alexander von Rohr
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Local policy search with Bayesian optimization
S Müller*, A von Rohr*, S Trimpe
Advances in Neural Information Processing Systems 34, 2021
252021
Gait learning for soft microrobots controlled by light fields
A von Rohr, S Trimpe, A Marco, P Fischer, S Palagi
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
232018
Probabilistic robust linear quadratic regulators with Gaussian processes
A von Rohr, M Neumann-Brosig, S Trimpe
Learning for Dynamics and Control, 324-335, 2021
162021
A Learnable Safety Measure
S Heim*, A von Rohr*, S Trimpe, A Badri-Spröwitz
Conference on Robot Learning, 627-639, 2020
142020
On Controller Tuning with Time-Varying Bayesian Optimization
P Brunzema*, A von Rohr*, S Trimpe
2022 IEEE 61st Conference on Decision and Control (CDC), 4046-4052, 2022
132022
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures
A Marco, A von Rohr, D Baumann, JM Hernández-Lobato, S Trimpe
arXiv preprint arXiv:2005.07443, 2020
122020
Event-Triggered Time-Varying Bayesian Optimization
P Brunzema, A von Rohr, F Solowjow, S Trimpe
arXiv preprint arXiv:2208.10790, 2022
52022
Improving the Performance of Robust Control through Event-Triggered Learning
A von Rohr, F Solowjow, S Trimpe
2022 IEEE 61st Conference on Decision and Control (CDC), 3424-3430, 2022
12022
Local Bayesian optimization for controller tuning with crash constraints
A von Rohr, D Stenger, D Scheurenberg, S Trimpe
at-Automatisierungstechnik 72 (4), 281-292, 2024
2024
Discovering Model Structure of Dynamical Systems with Combinatorial Bayesian Optimization
L Rath, A von Rohr, A Schultze, S Trimpe, B Corves
Transactions on Machine Learning Research, 2024
2024
Experience Transfer for Robust Direct Data-Driven Control
A von Rohr, D Likhachev, S Trimpe
arXiv preprint arXiv:2306.16973, 2023
2023
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