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Lukas P. Fröhlich
Lukas P. Fröhlich
PhD Student, ETH Zurich
Verified email at ethz.ch
Title
Cited by
Cited by
Year
Meta-learning acquisition functions for transfer learning in bayesian optimization
M Volpp, LP Fröhlich, K Fischer, A Doerr, S Falkner, F Hutter, C Daniel
arXiv preprint arXiv:1904.02642, 2019
432019
On simulation and trajectory prediction with gaussian process dynamics
L Hewing, E Arcari, LP Fröhlich, MN Zeilinger
Learning for Dynamics and Control, 424-434, 2020
332020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
LP Fröhlich, ED Klenske, J Vinogradska, C Daniel, MN Zeilinger
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
242020
Model learning and contextual controller tuning for autonomous racing
LP Fröhlich, C Küttel, E Arcari, L Hewing, MN Zeilinger, A Carron
arXiv preprint arXiv:2110.02710, 2021
62021
Meta-learning acquisition functions for bayesian optimization
M Volpp, L Fröhlich, A Doerr, F Hutter, C Daniel
arXiv preprint arXiv:1904.02642, 2019
62019
Cautious bayesian optimization for efficient and scalable policy search
LP Fröhlich, MN Zeilinger, ED Klenske
Learning for Dynamics and Control, 227-240, 2021
52021
On-policy model errors in reinforcement learning
LP Fröhlich, M Lefarov, MN Zeilinger, F Berkenkamp
arXiv preprint arXiv:2110.07985, 2021
42021
Bayesian optimization for policy search in high-dimensional systems via automatic domain selection
LP Fröhlich, ED Klenske, CG Daniel, MN Zeilinger
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
32019
Contextual Tuning of Model Predictive Control for Autonomous Racing
LP Fröhlich, C Küttel, E Arcari, L Hewing, MN Zeilinger, A Carron
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
12022
Method and device for determining model parameters for a control strategy for a technical system with the aid of a bayesian optimization method
L Froehlich, C Daniel, E Klenske
US Patent App. 17/611,549, 2022
12022
Method and device for determining a control strategy for a technical system
E Klenske, L Froehlich
US Patent App. 17/605,485, 2022
12022
Kernel Design for Gaussian Mixture Models in Direct Policy Search
LP Fröhlich, L Rozo, MN Zeilinger
Robotics: Science and Systems Conference (RSS) Workshop on Geometry and …, 2021
12021
Device and method to improve learning of a policy for robots
F Berkenkamp, L Froehlich, M Lefarov, A Doerr
US Patent App. 17/652,983, 2022
2022
Method for optimizing a policy for a robot
L Froehlich, E Klenske, L Rozo
US Patent App. 17/450,794, 2022
2022
Data-Efficient Controller Tuning and Reinforcement Learning
L Fröhlich
ETH Zurich, 2022
2022
Controller and method for selecting evaluation points for a bayesian optimization method
E Klenske, L Froehlich
US Patent App. 17/323,785, 2021
2021
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