Lukas P. Fröhlich
Lukas P. Fröhlich
PhD Student, ETH Zurich
Verified email at ethz.ch
Title
Cited by
Cited by
Year
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
132020
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
112019
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
92020
Meta-learning acquisition functions for bayesian optimization
M Volpp, L Fröhlich, A Doerr, F Hutter, C Daniel
arXiv preprint arXiv:1904.02642, 2019
42019
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
22019
Cautious Bayesian Optimization for Efficient and Scalable Policy Search
LP Fröhlich, MN Zeilinger, ED Klenske
Learning for Dynamics and Control, 227-240, 2021
12021
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
2021
Kernel Design for Gaussian Mixture Models in Direct Policy Search
LP Fröhlich, L Rozo, MN Zeilinger
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Articles 1–8