Name
Affiliation
Papers
DUY NGUYENTUONG
max planck society
32
Collaborators
Citations 
PageRank 
53
438
26.22
Referers 
Referees 
References 
979
488
333
Search Limit
100979
Title
Citations
PageRank
Year
Active Learning in Gaussian Process State Space Model00.342021
Adaptive Discretization for Evaluation of Probabilistic Cost Functions.00.342020
Probabilistic Recurrent State-Space Models.30.372018
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers.60.472017
Optimizing Long-term Predictions for Model-based Policy Search.00.342017
Stability of Controllers for Gaussian Process Forward Models.40.442016
Efficient sparsification for Gaussian process regression.30.482016
Fast greedy insertion and deletion in sparse Gaussian process regression.00.342015
Sparse Gaussian process regression for compliant, real-time robot control40.482015
Safe Exploration for Active Learning with Gaussian Processes140.872015
Policy search for learning robot control using sparse data40.492014
Cognitive Fixed-Gain Amplify-And-Forward Relay Networks Under Interference Constraints10.352013
Hierarchical Reinforcement Learning for Robot Navigation.30.402013
Learning Throttle Valve Control Using Policy Search60.682013
Learning control under uncertainty: A probabilistic Value-Iteration approach.00.342013
Solving the 15-Puzzle Game Using Local Value-Iteration.10.362013
Fusing vision and odometry for accurate indoor robot localization60.542012
Online kernel-based learning for task-space tracking robot control.110.592012
Robot Skill Learning.30.382012
Incremental online sparsification for model learning in real-time robot control170.802011
Learning task-space tracking control with kernels10.382011
Model learning for robot control: a survey.1264.182011
Trajectory planning for optimal robot catching in real-time251.482011
Using model knowledge for learning inverse dynamics431.892010
Incremental Sparsification for Real-time Online Model Learning90.622010
Towards Motor Skill Learning for Robotics.160.962009
Sparse online model learning for robot control with support vector regression80.602009
Model Learning with Local Gaussian Process Regression752.932009
Learning Inverse Dynamics: a Comparison90.642008
Computed torque control with nonparametric regression models272.082008
Policy Learning --- A Unified Perspective with Applications in Robotics20.362008
Local Gaussian Process Regression for Real Time Online Model Learning110.702008