Duy Nguyen-Tuong

CoRR, 2024

2021

Active Learning in Gaussian Process State Space Model.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Adaptive Discretization for Evaluation of Probabilistic Cost Functions.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Safe Active Learning for Time-Series Modeling with Gaussian Processes.

[BibT_eX]

[DOI]

Christoph Zimmer

Mona Meister

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Probabilistic Recurrent State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Stability of Controllers for Gaussian Process Dynamics.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Model-based policy search for automatic tuning of multivariate PID controllers.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Optimizing Long-term Predictions for Model-based Policy Search.

[BibT_eX]

[DOI]

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the Springer Handbook of Robotics, 2016

Efficient sparsification for Gaussian process regression.

[BibT_eX]

[DOI]

Jens Schreiter

Marc Toussaint

Neurocomputing, 2016

Stability of Controllers for Gaussian Process Forward Models.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Safe Exploration for Active Learning with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Sparse Gaussian process regression for compliant, real-time robot control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Fast greedy insertion and deletion in sparse Gaussian process regression.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Policy search for learning robot control using sparse data.

[BibT_eX]

[DOI]

Marc Peter Deisenroth

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Solving the 15-Puzzle Game Using Local Value-Iteration.

[BibT_eX]

[DOI]

Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

Learning Throttle Valve Control Using Policy Search.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Learning control under uncertainty: A probabilistic Value-Iteration approach.

[BibT_eX]

[DOI]

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Hierarchical Reinforcement Learning for Robot Navigation.

[BibT_eX]

[DOI]

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Online Kernel-Based Learning for Task-Space Tracking Robot Control.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Fusing vision and odometry for accurate indoor robot localization.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

Robot Skill Learning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2012, 2012

2011

Model Learning in robot control (Modell-Lernen für Roboter-Regelung)

[BibT_eX]

[DOI]

PhD thesis, 2011

Incremental online sparsification for model learning in real-time robot control.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Model learning for robot control: a survey.

[BibT_eX]

[DOI]

Cogn. Process., 2011

Learning task-space tracking control with kernels.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning inverse kinematics with structured prediction.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Trajectory planning for optimal robot catching in real-time.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Real-Time Local GP Model Learning.

[BibT_eX]

[DOI]

Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Incremental Sparsification for Real-time Online Model Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Using model knowledge for learning inverse dynamics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Model Learning with Local Gaussian Process Regression.

[BibT_eX]

[DOI]

Adv. Robotics, 2009

Towards Motor Skill Learning for Robotics.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research - The 14th International Symposium, 2009

Sparse online model learning for robot control with support vector regression.

[BibT_eX]

[DOI]

Bernhard Schölkopf

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

2008

Local Gaussian Process Regression for Real Time Online Model Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Local Gaussian process regression for real-time model-based robot control.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Real-time learning of resolved velocity control on a Mitsubishi PA-10.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Policy Learning - A Unified Perspective with Applications in Robotics.

[BibT_eX]

[DOI]

Jens Kober

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Learning Inverse Dynamics: a Comparison.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Computed torque control with nonparametric regression models.

[BibT_eX]

[DOI]