Duy Nguyen-Tuong

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 13

Top Topics

Gaussian Process

Top Venues

Publications

Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Safe Active Learning for Time-Series Modeling with Gaussian Processes. CoRR (2024)
Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
Active Learning in Gaussian Process State Space Model. CoRR (2021)
Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
Active Learning in Gaussian Process State Space Model. ECML/PKDD (3) (2021)
Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong
Adaptive Discretization for Evaluation of Probabilistic Cost Functions. AISTATS (2020)
Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Safe Active Learning for Time-Series Modeling with Gaussian Processes. GI-Jahrestagung (2019)
Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
Probabilistic Recurrent State-Space Models. ICML (2018)
Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Safe Active Learning for Time-Series Modeling with Gaussian Processes. NeurIPS (2018)
Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
Optimizing Long-term Predictions for Model-based Policy Search. CoRL (2017)
Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers. CoRR (2017)
Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Jan Peters
Stability of Controllers for Gaussian Process Dynamics. J. Mach. Learn. Res. 18 (2017)
Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
Model-based policy search for automatic tuning of multivariate PID controllers. ICRA (2017)
Jens Schreiter, Duy Nguyen-Tuong, Marc Toussaint
Efficient sparsification for Gaussian process regression. Neurocomputing 192 (2016)
Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Anne Romer, Henner Schmidt, Jan Peters
Stability of Controllers for Gaussian Process Forward Models. ICML (2016)
Jens Schreiter, Peter Englert, Duy Nguyen-Tuong, Marc Toussaint
Sparse Gaussian process regression for compliant, real-time robot control. ICRA (2015)
Jens Schreiter, Duy Nguyen-Tuong, Mona Eberts, Bastian Bischoff, Heiner Markert, Marc Toussaint
Safe Exploration for Active Learning with Gaussian Processes. ECML/PKDD (3) (2015)
Jens Schreiter, Duy Nguyen-Tuong, Heiner Markert, Michael Hanselmann, Marc Toussaint
Fast greedy insertion and deletion in sparse Gaussian process regression. ESANN (2015)
Bastian Bischoff, Duy Nguyen-Tuong, Herke van Hoof, Andrew McHutchon, Carl E. Rasmussen, Alois C. Knoll, Jan Peters, Marc Peter Deisenroth
Policy search for learning robot control using sparse data. ICRA (2014)
Bastian Bischoff, Duy Nguyen-Tuong, I-Hsuan Lee, Felix Streichert, Alois C. Knoll
Hierarchical Reinforcement Learning for Robot Navigation. ESANN (2013)
Bastian Bischoff, Duy Nguyen-Tuong, Torsten Koller, Heiner Markert, Alois C. Knoll
Learning Throttle Valve Control Using Policy Search. ECML/PKDD (1) (2013)
Bastian Bischoff, Duy Nguyen-Tuong, Heiner Markert, Alois C. Knoll
Learning control under uncertainty: A probabilistic Value-Iteration approach. ESANN (2013)
Bastian Bischoff, Duy Nguyen-Tuong, Heiner Markert, Alois C. Knoll
Solving the 15-Puzzle Game Using Local Value-Iteration. SCAI (2013)
Duy Nguyen-Tuong, Jan Peters
Online Kernel-Based Learning for Task-Space Tracking Robot Control. IEEE Trans. Neural Networks Learn. Syst. 23 (9) (2012)
Jan Peters, Katharina Mülling, Jens Kober, Duy Nguyen-Tuong, Oliver Krömer
Robot Skill Learning. ECAI (2012)
Bastian Bischoff, Duy Nguyen-Tuong, Felix Streichert, Marlon Ewert, Alois C. Knoll
Fusing vision and odometry for accurate indoor robot localization. ICARCV (2012)
Duy Nguyen-Tuong, Jan Peters
Learning task-space tracking control with kernels. IROS (2011)
Roberto Lampariello, Duy Nguyen-Tuong, Claudio Castellini, Gerd Hirzinger, Jan Peters
Trajectory planning for optimal robot catching in real-time. ICRA (2011)
Botond Bocsi, Duy Nguyen-Tuong, Lehel Csató, Bernhard Schölkopf, Jan Peters
Learning inverse kinematics with structured prediction. IROS (2011)
Duy Nguyen-Tuong, Jan Peters
Model learning for robot control: a survey. Cogn. Process. 12 (4) (2011)
Duy Nguyen-Tuong, Jan Peters
Incremental online sparsification for model learning in real-time robot control. Neurocomputing 74 (11) (2011)
Duy Nguyen-Tuong, Jan Peters
Incremental Sparsification for Real-time Online Model Learning. AISTATS (2010)
Duy Nguyen-Tuong, Jan Peters
Using model knowledge for learning inverse dynamics. ICRA (2010)
Duy Nguyen-Tuong, Bernhard Schölkopf, Jan Peters
Sparse online model learning for robot control with support vector regression. IROS (2009)
Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
Model Learning with Local Gaussian Process Regression. Adv. Robotics 23 (15) (2009)
Jan Peters, Katharina Mülling, Jens Kober, Duy Nguyen-Tuong, Oliver Krömer
Towards Motor Skill Learning for Robotics. ISRR (2009)
Jan Peters, Duy Nguyen-Tuong
Real-time learning of resolved velocity control on a Mitsubishi PA-10. ICRA (2008)
Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
Computed torque control with nonparametric regression models. ACC (2008)
Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
Local Gaussian Process Regression for Real Time Online Model Learning. NIPS (2008)
Duy Nguyen-Tuong, Jan Peters
Local Gaussian process regression for real-time model-based robot control. IROS (2008)
Jan Peters, Jens Kober, Duy Nguyen-Tuong
Policy Learning - A Unified Perspective with Applications in Robotics. EWRL (2008)
Duy Nguyen-Tuong, Jan Peters, Matthias W. Seeger, Bernhard Schölkopf
Learning Inverse Dynamics: a Comparison. ESANN (2008)