no code implementations • 30 Jul 2021 • Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
We investigate active learning in Gaussian Process state-space models (GPSSM).
no code implementations • NeurIPS 2018 • Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Learning time-series models is useful for many applications, such as simulation and forecasting.
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.
no code implementations • NeurIPS 2008 • Duy Nguyen-Tuong, Jan R. Peters, Matthias Seeger
Inspired by local learning, we propose a method to speed up standard Gaussian Process regression (GPR) with local GP models (LGP).