Lukas P. Fröhlich

According to our database, Lukas P. Fröhlich authored at least 10 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Data-Efficient Controller Tuning and Reinforcement Learning.

Lukas P. Fröhlich

PhD thesis, 2022

Contextual Tuning of Model Predictive Control for Autonomous Racing.

Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

On-Policy Model Errors in Reinforcement Learning.

Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Model Learning and Contextual Controller Tuning for Autonomous Racing.

Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron

CoRR, 2021

Cautious Bayesian Optimization for Efficient and Scalable Policy Search.

Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

On Simulation and Trajectory Prediction with Gaussian Process Dynamics.

Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization.

Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel

Proceedings of the 8th International Conference on Learning Representations, 2020

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization.

Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Meta-Learning Acquisition Functions for Bayesian Optimization.

Michael Volpp, Lukas P. Fröhlich, Andreas Doerr, Frank Hutter, Christian Daniel

CoRR, 2019

Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection.

Lukas P. Fröhlich, Edgar D. Klenske, Christian G. Daniel, Melanie N. Zeilinger

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019