Duy Nguyen-Tuong

44 papers A* 9A 7B 4C 3Misc 1Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Batch Active Learning in Gaussian Process Regression using Derivatives. CoRR Hon Sum Alec Yu, Christoph Zimmer, Duy Nguyen-Tuong
2024	J	`jnl`	Safe Active Learning for Time-Series Modeling with Gaussian Processes. CoRR Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
2021	—	`conf`	Active Learning in Gaussian Process State Space Model. ECML/PKDD (3) Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
2021	J	`jnl`	Active Learning in Gaussian Process State Space Model. CoRR Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
2020	A	`conf`	Adaptive Discretization for Evaluation of Probabilistic Cost Functions. AISTATS Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong
2019	—	`conf`	Safe Active Learning for Time-Series Modeling with Gaussian Processes. GI-Jahrestagung Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
2018	A*	`conf`	Probabilistic Recurrent State-Space Models. ICML Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
2018	A*	`conf`	Safe Active Learning for Time-Series Modeling with Gaussian Processes. NeurIPS Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
2017	J	`jnl`	Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers. CoRR Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
2017	A*	`conf`	Model-based policy search for automatic tuning of multivariate PID controllers. ICRA Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
2017	Misc	`conf`	Optimizing Long-term Predictions for Model-based Policy Search. CoRL Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
2017	J	`jnl`	Stability of Controllers for Gaussian Process Dynamics. J. Mach. Learn. Res. Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Jan Peters
2016	J	`jnl`	Efficient sparsification for Gaussian process regression. Neurocomputing Jens Schreiter, Duy Nguyen-Tuong, Marc Toussaint
2016	—	`ch.`	Robot Learning. Springer Handbook of Robotics, 2nd Ed. Jan Peters, Daniel D. Lee, Jens Kober, Duy Nguyen-Tuong, J. Andrew Bagnell, Stefan Schaal
2016	A*	`conf`	Stability of Controllers for Gaussian Process Forward Models. ICML Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Anne Romer, Henner Schmidt, Jan Peters
2015	B	`conf`	Fast greedy insertion and deletion in sparse Gaussian process regression. ESANN Jens Schreiter, Duy Nguyen-Tuong, Heiner Markert, Michael Hanselmann, Marc Toussaint
2015	—	`conf`	Safe Exploration for Active Learning with Gaussian Processes. ECML/PKDD (3) Jens Schreiter, Duy Nguyen-Tuong, Mona Eberts, Bastian Bischoff, Heiner Markert, Marc Toussaint
2015	A*	`conf`	Sparse Gaussian process regression for compliant, real-time robot control. ICRA Jens Schreiter, Peter Englert, Duy Nguyen-Tuong, Marc Toussaint
2014	A*	`conf`	Policy search for learning robot control using sparse data. ICRA Bastian Bischoff, Duy Nguyen-Tuong, Herke van Hoof, Andrew McHutchon, Carl E. Rasmussen, Alois C. Knoll, Jan Peters, Marc Peter Deisenroth
2013	B	`conf`	Hierarchical Reinforcement Learning for Robot Navigation. ESANN Bastian Bischoff, Duy Nguyen-Tuong, I-Hsuan Lee, Felix Streichert, Alois C. Knoll
2013	—	`conf`	Learning Throttle Valve Control Using Policy Search. ECML/PKDD (1) Bastian Bischoff, Duy Nguyen-Tuong, Torsten Koller, Heiner Markert, Alois C. Knoll
2013	B	`conf`	Learning control under uncertainty: A probabilistic Value-Iteration approach. ESANN Bastian Bischoff, Duy Nguyen-Tuong, Heiner Markert, Alois C. Knoll
2013	—	`conf`	Solving the 15-Puzzle Game Using Local Value-Iteration. SCAI Bastian Bischoff, Duy Nguyen-Tuong, Heiner Markert, Alois C. Knoll
2012	C	`conf`	Fusing vision and odometry for accurate indoor robot localization. ICARCV Bastian Bischoff, Duy Nguyen-Tuong, Felix Streichert, Marlon Ewert, Alois C. Knoll
2012	J	`jnl`	Online Kernel-Based Learning for Task-Space Tracking Robot Control. IEEE Trans. Neural Networks Learn. Syst. Duy Nguyen-Tuong, Jan Peters
2012	A	`conf`	Robot Skill Learning. ECAI Jan Peters, Katharina Mülling, Jens Kober, Duy Nguyen-Tuong, Oliver Krömer
2011	J	`jnl`	Incremental online sparsification for model learning in real-time robot control. Neurocomputing Duy Nguyen-Tuong, Jan Peters
2011	A	`conf`	Learning inverse kinematics with structured prediction. IROS Botond Bocsi, Duy Nguyen-Tuong, Lehel Csató, Bernhard Schölkopf, Jan Peters
2011	A	`conf`	Learning task-space tracking control with kernels. IROS Duy Nguyen-Tuong, Jan Peters
2011	—	`—`	Model Learning in robot control (Modell-Lernen für Roboter-Regelung) Duy Nguyen-Tuong
2011	J	`jnl`	Model learning for robot control: a survey. Cogn. Process. Duy Nguyen-Tuong, Jan Peters
2011	A*	`conf`	Trajectory planning for optimal robot catching in real-time. ICRA Roberto Lampariello, Duy Nguyen-Tuong, Claudio Castellini, Gerd Hirzinger, Jan Peters
2010	A	`conf`	Incremental Sparsification for Real-time Online Model Learning. AISTATS Duy Nguyen-Tuong, Jan Peters
2010	—	`ch.`	Real-Time Local GP Model Learning. From Motor Learning to Interaction Learning in Robots Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
2010	A*	`conf`	Using model knowledge for learning inverse dynamics. ICRA Duy Nguyen-Tuong, Jan Peters
2009	J	`jnl`	Model Learning with Local Gaussian Process Regression. Adv. Robotics Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
2009	A	`conf`	Sparse online model learning for robot control with support vector regression. IROS Duy Nguyen-Tuong, Bernhard Schölkopf, Jan Peters
2009	C	`conf`	Towards Motor Skill Learning for Robotics. ISRR Jan Peters, Katharina Mülling, Jens Kober, Duy Nguyen-Tuong, Oliver Krömer
2008	C	`conf`	Computed torque control with nonparametric regression models. ACC Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
2008	B	`conf`	Learning Inverse Dynamics: a Comparison. ESANN Duy Nguyen-Tuong, Jan Peters, Matthias W. Seeger, Bernhard Schölkopf
2008	—	`conf`	Local Gaussian Process Regression for Real Time Online Model Learning. NIPS Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
2008	A	`conf`	Local Gaussian process regression for real-time model-based robot control. IROS Duy Nguyen-Tuong, Jan Peters
2008	—	`conf`	Policy Learning - A Unified Perspective with Applications in Robotics. EWRL Jan Peters, Jens Kober, Duy Nguyen-Tuong
2008	A*	`conf`	Real-time learning of resolved velocity control on a Mitsubishi PA-10. ICRA Jan Peters, Duy Nguyen-Tuong