Follow
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
652019
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
432020
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
322020
Cautious bayesian optimization for efficient and scalable policy search
LP Fröhlich, MN Zeilinger, ED Klenske
Learning for Dynamics and Control, 227-240, 2021
122021
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
102022
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
82021
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
82019
On-policy model errors in reinforcement learning
LP Fröhlich, M Lefarov, MN Zeilinger, F Berkenkamp
arXiv preprint arXiv:2110.07985, 2021
72021
Meta-learning acquisition functions for bayesian optimization
M Volpp, L Fröhlich, A Doerr, F Hutter, C Daniel
arXiv preprint arXiv:1904.02642, 2019
42019
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
22022
Data-Efficient Controller Tuning and Reinforcement Learning
L Fröhlich
ETH Zurich, 2022
22022
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
Method and device for determining a control strategy for a technical system
E Klenske, L Froehlich
US Patent 11,762,346, 2023
2023
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
Controller and method for selecting evaluation points for a bayesian optimization method
E Klenske, L Froehlich
US Patent App. 17/323,785, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–16