2 code implementations • 14 May 2019 • Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel
Policy gradient methods are powerful reinforcement learning algorithms and have been demonstrated to solve many complex tasks.
2 code implementations • ICLR 2020 • Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel
Transferring knowledge across tasks to improve data-efficiency is one of the open key challenges in the field of global black-box optimization.
1 code implementation • NeurIPS 2018 • David Reeb, Andreas Doerr, Sebastian Gerwinn, Barbara Rakitsch
Gaussian Processes (GPs) are a generic modelling tool for supervised learning.
2 code implementations • ICML 2018 • Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
State-space models (SSMs) are a highly expressive model class for learning patterns in time series data and for system identification.
no code implementations • 8 Mar 2017 • Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
PID control architectures are widely used in industrial applications.