Doerr, Andreas

5 publications

ICLR 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

ICML 2019 Trajectory-Based Off-Policy Deep Reinforcement Learning Andreas Doerr, Michael Volpp, Marc Toussaint, Trimpe Sebastian, Christian Daniel

NeurIPS 2018 Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds David Reeb, Andreas Doerr, Sebastian Gerwinn, Barbara Rakitsch

ICML 2018 Probabilistic Recurrent State-Space Models Andreas Doerr, Christian Daniel, Martin Schiegg, Nguyen-Tuong Duy, Stefan Schaal, Marc Toussaint, Trimpe Sebastian

CoRL 2017 Optimizing Long-Term Predictions for Model-Based Policy Search Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe