Lukas P. Fröhlich

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 14

Top Topics

Dynamical Models

Top Venues

Publications

Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron
Contextual Tuning of Model Predictive Control for Autonomous Racing. IROS (2022)
Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
On-Policy Model Errors in Reinforcement Learning. ICLR (2022)
Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske
Cautious Bayesian Optimization for Efficient and Scalable Policy Search. L4DC (2021)
Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron
Model Learning and Contextual Controller Tuning for Autonomous Racing. CoRR (2021)
Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
On-Policy Model Errors in Reinforcement Learning. CoRR (2021)
Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger
On Simulation and Trajectory Prediction with Gaussian Process Dynamics. L4DC (2020)
Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. CoRR (2020)
Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. ICLR (2020)
Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. AISTATS (2020)
Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske
Cautious Bayesian Optimization for Efficient and Scalable Policy Search. CoRR (2020)
Lukas P. Fröhlich, Edgar D. Klenske, Christian G. Daniel, Melanie N. Zeilinger
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection. CoRR (2020)
Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger
On Simulation and Trajectory Prediction with Gaussian Process Dynamics. CoRR (2019)
Lukas P. Fröhlich, Edgar D. Klenske, Christian G. Daniel, Melanie N. Zeilinger
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection. IROS (2019)
Michael Volpp, Lukas P. Fröhlich, Andreas Doerr, Frank Hutter, Christian Daniel
Meta-Learning Acquisition Functions for Bayesian Optimization. CoRR (2019)