Active Learning in Gaussian Process State Space Model | 0 | 0.34 | 2021 |
Adaptive Discretization for Evaluation of Probabilistic Cost Functions. | 0 | 0.34 | 2020 |
Probabilistic Recurrent State-Space Models. | 3 | 0.37 | 2018 |
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers. | 6 | 0.47 | 2017 |
Optimizing Long-term Predictions for Model-based Policy Search. | 0 | 0.34 | 2017 |
Stability of Controllers for Gaussian Process Forward Models. | 4 | 0.44 | 2016 |
Efficient sparsification for Gaussian process regression. | 3 | 0.48 | 2016 |
Fast greedy insertion and deletion in sparse Gaussian process regression. | 0 | 0.34 | 2015 |
Sparse Gaussian process regression for compliant, real-time robot control | 4 | 0.48 | 2015 |
Safe Exploration for Active Learning with Gaussian Processes | 14 | 0.87 | 2015 |
Policy search for learning robot control using sparse data | 4 | 0.49 | 2014 |
Cognitive Fixed-Gain Amplify-And-Forward Relay Networks Under Interference Constraints | 1 | 0.35 | 2013 |
Hierarchical Reinforcement Learning for Robot Navigation. | 3 | 0.40 | 2013 |
Learning Throttle Valve Control Using Policy Search | 6 | 0.68 | 2013 |
Learning control under uncertainty: A probabilistic Value-Iteration approach. | 0 | 0.34 | 2013 |
Solving the 15-Puzzle Game Using Local Value-Iteration. | 1 | 0.36 | 2013 |
Fusing vision and odometry for accurate indoor robot localization | 6 | 0.54 | 2012 |
Online kernel-based learning for task-space tracking robot control. | 11 | 0.59 | 2012 |
Robot Skill Learning. | 3 | 0.38 | 2012 |
Incremental online sparsification for model learning in real-time robot control | 17 | 0.80 | 2011 |
Learning task-space tracking control with kernels | 1 | 0.38 | 2011 |
Model learning for robot control: a survey. | 126 | 4.18 | 2011 |
Trajectory planning for optimal robot catching in real-time | 25 | 1.48 | 2011 |
Using model knowledge for learning inverse dynamics | 43 | 1.89 | 2010 |
Incremental Sparsification for Real-time Online Model Learning | 9 | 0.62 | 2010 |
Towards Motor Skill Learning for Robotics. | 16 | 0.96 | 2009 |
Sparse online model learning for robot control with support vector regression | 8 | 0.60 | 2009 |
Model Learning with Local Gaussian Process Regression | 75 | 2.93 | 2009 |
Learning Inverse Dynamics: a Comparison | 9 | 0.64 | 2008 |
Computed torque control with nonparametric regression models | 27 | 2.08 | 2008 |
Policy Learning --- A Unified Perspective with Applications in Robotics | 2 | 0.36 | 2008 |
Local Gaussian Process Regression for Real Time Online Model Learning | 11 | 0.70 | 2008 |