Computed torque control with nonparametric regression models. - Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters 001 (ACC, 2008)

Learning Inverse Dynamics: a Comparison. - Duy Nguyen-Tuong; Jan Peters 001; Matthias W. Seeger; Bernhard Schölkopf (ESANN, 2008)

Policy Learning - A Unified Perspective with Applications in Robotics. - Jan Peters 001; Jens Kober; Duy Nguyen-Tuong (EWRL, 2008)

Real-time learning of resolved velocity control on a Mitsubishi PA-10. - Jan Peters 001; Duy Nguyen-Tuong (ICRA, 2008)

Local Gaussian process regression for real-time model-based robot control. - Duy Nguyen-Tuong; Jan Peters 001 (IROS, 2008)

Local Gaussian Process Regression for Real Time Online Model Learning. - Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters 001 (NIPS, 2008)

Sparse online model learning for robot control with support vector regression. - Duy Nguyen-Tuong; Bernhard Schölkopf; Jan Peters 001 (IROS, 2009)

Towards Motor Skill Learning for Robotics. - Jan Peters 001; Katharina Mülling; Jens Kober; Duy Nguyen-Tuong; Oliver Krömer (ISRR, 2009)

Model Learning with Local Gaussian Process Regression. - Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters 001 (Adv. Robotics, 2009)

Using model knowledge for learning inverse dynamics. - Duy Nguyen-Tuong; Jan Peters 001 (ICRA, 2010)

Incremental Sparsification for Real-time Online Model Learning. - Duy Nguyen-Tuong; Jan Peters 001 (AISTATS, 2010)

Real-Time Local GP Model Learning. - Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters 001 (From Motor Learning to Interaction Learning in Robots, 2010)

Trajectory planning for optimal robot catching in real-time. - Roberto Lampariello; Duy Nguyen-Tuong; Claudio Castellini; Gerd Hirzinger; Jan Peters 001 (ICRA, 2011)

Learning inverse kinematics with structured prediction. - Botond Bocsi; Duy Nguyen-Tuong; Lehel Csató; Bernhard Schölkopf; Jan Peters 001 (IROS, 2011)

Learning task-space tracking control with kernels. - Duy Nguyen-Tuong; Jan Peters 001 (IROS, 2011)

Model learning for robot control: a survey. - Duy Nguyen-Tuong; Jan Peters 001 (Cogn. Process., 2011)

Incremental online sparsification for model learning in real-time robot control. - Duy Nguyen-Tuong; Jan Peters 001 (Neurocomputing, 2011)

Model Learning in robot control (Modell-Lernen für Roboter-Regelung) - Duy Nguyen-Tuong (2011)

Robot Skill Learning. - Jan Peters 001; Katharina Mülling; Jens Kober; Duy Nguyen-Tuong; Oliver Krömer (ECAI, 2012)

Fusing vision and odometry for accurate indoor robot localization. - Bastian Bischoff; Duy Nguyen-Tuong; Felix Streichert; Marlon Ewert; Alois C. Knoll (ICARCV, 2012)

Online Kernel-Based Learning for Task-Space Tracking Robot Control. - Duy Nguyen-Tuong; Jan Peters 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Hierarchical Reinforcement Learning for Robot Navigation. - Bastian Bischoff; Duy Nguyen-Tuong; I-Hsuan Lee; Felix Streichert; Alois C. Knoll (ESANN, 2013)

Learning control under uncertainty: A probabilistic Value-Iteration approach. - Bastian Bischoff; Duy Nguyen-Tuong; Heiner Markert; Alois C. Knoll (ESANN, 2013)

Learning Throttle Valve Control Using Policy Search. - Bastian Bischoff; Duy Nguyen-Tuong; Torsten Koller; Heiner Markert; Alois C. Knoll (ECML/PKDD (1), 2013)

Solving the 15-Puzzle Game Using Local Value-Iteration. - Bastian Bischoff; Duy Nguyen-Tuong; Heiner Markert; Alois C. Knoll (SCAI, 2013)

Policy search for learning robot control using sparse data. - Bastian Bischoff; Duy Nguyen-Tuong; Herke van Hoof; Andrew McHutchon; Carl E. Rasmussen; Alois C. Knoll; Jan Peters 001; Marc Peter Deisenroth (ICRA, 2014)

Fast greedy insertion and deletion in sparse Gaussian process regression. - Jens Schreiter; Duy Nguyen-Tuong; Heiner Markert; Michael Hanselmann; Marc Toussaint (ESANN, 2015)

Sparse Gaussian process regression for compliant, real-time robot control. - Jens Schreiter; Peter Englert; Duy Nguyen-Tuong; Marc Toussaint (ICRA, 2015)

Safe Exploration for Active Learning with Gaussian Processes. - Jens Schreiter; Duy Nguyen-Tuong; Mona Eberts; Bastian Bischoff; Heiner Markert; Marc Toussaint (ECML/PKDD (3), 2015)

Stability of Controllers for Gaussian Process Forward Models. - Julia Vinogradska; Bastian Bischoff; Duy Nguyen-Tuong; Anne Romer; Henner Schmidt; Jan Peters 001 (ICML, 2016)

Efficient sparsification for Gaussian process regression. - Jens Schreiter; Duy Nguyen-Tuong; Marc Toussaint (Neurocomputing, 2016)

Robot Learning. - Jan Peters 001; Daniel D. Lee; Jens Kober; Duy Nguyen-Tuong; J. Andrew Bagnell; Stefan Schaal (Springer Handbook of Robotics, 2nd Ed., 2016)

Optimizing Long-term Predictions for Model-based Policy Search. - Andreas Doerr; Christian Daniel; Duy Nguyen-Tuong; Alonso Marco; Stefan Schaal; Marc Toussaint; Sebastian Trimpe (CoRL, 2017)

Model-based policy search for automatic tuning of multivariate PID controllers. - Andreas Doerr; Duy Nguyen-Tuong; Alonso Marco; Stefan Schaal; Sebastian Trimpe (ICRA, 2017)

Stability of Controllers for Gaussian Process Dynamics. - Julia Vinogradska; Bastian Bischoff; Duy Nguyen-Tuong; Jan Peters 001 (J. Mach. Learn. Res., 2017)

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

Safe Active Learning for Time-Series Modeling with Gaussian Processes. - Christoph Zimmer; Mona Meister; Duy Nguyen-Tuong (NeurIPS, 2018)

Adaptive Discretization for Evaluation of Probabilistic Cost Functions. - Christoph Zimmer; Danny Driess; Mona Meister; Duy Nguyen-Tuong (AISTATS, 2020)

Active Learning in Gaussian Process State Space Model. - Hon Sum Alec Yu; Dingling Yao; Christoph Zimmer; Marc Toussaint; Duy Nguyen-Tuong (ECML/PKDD (3), 2021)

Batch Active Learning in Gaussian Process Regression using Derivatives. - Hon Sum Alec Yu; Christoph Zimmer; Duy Nguyen-Tuong (CoRR, 2024)