| 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 | 82 | 2019 |
| 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 | 49 | 2020 |
| 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 | 33 | 2020 |
| 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 | 15 | 2022 |
| Cautious bayesian optimization for efficient and scalable policy search LP Fröhlich, MN Zeilinger, ED Klenske Learning for Dynamics and Control, 227-240, 2021 | 12 | 2021 |
| 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 | 11 | 2021 |
| 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 | 10 | 2019 |
| On-policy model errors in reinforcement learning LP Fröhlich, M Lefarov, MN Zeilinger, F Berkenkamp arXiv preprint arXiv:2110.07985, 2021 | 8 | 2021 |
| Meta-learning acquisition functions for bayesian optimization M Volpp, L Fröhlich, A Doerr, F Hutter, C Daniel arXiv preprint arXiv:1904.02642, 2019 | 4 | 2019 |
| 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 | 2 | 2022 |
| Data-Efficient Controller Tuning and Reinforcement Learning L Fröhlich ETH Zurich, 2022 | 2 | 2022 |
| Method and device for determining a control strategy for a technical system E Klenske, L Froehlich US Patent 11,762,346, 2023 | 1 | 2023 |
| 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 | 1 | 2021 |
| Controller and method for selecting evaluation points for a Bayesian optimization method E Klenske, L Froehlich US Patent 12,090,662, 2024 | | 2024 |
| Method for optimizing a policy for a robot L Froehlich, E Klenske, L Rozo US Patent 11,992,943, 2024 | | 2024 |
| 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 |
Melanie ZeilingerAssociate Professor, ETH ZurichVerified email at ethz.ch
