Local Gaussian process regression for real-time model-based robot control
暂无分享,去创建一个
[1] Mark W. Spong,et al. Robot dynamics and control , 1989 .
[2] Etienne Burdet,et al. Experiments in nonlinear adaptive control , 1997, Proceedings of International Conference on Robotics and Automation.
[3] Mitsuo Kawato,et al. Internal models for motor control and trajectory planning , 1999, Current Opinion in Neurobiology.
[4] Stefan Schaal,et al. Real-time robot learning with locally weighted statistical learning , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[5] Carl E. Rasmussen,et al. Infinite Mixtures of Gaussian Process Experts , 2001, NIPS.
[6] Lehel Csató,et al. Sparse On-Line Gaussian Processes , 2002, Neural Computation.
[7] Anthony Widjaja,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.
[8] Jun Nakanishi,et al. Feedback error learning and nonlinear adaptive control , 2004, Neural Networks.
[9] Stefan Schaal,et al. Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning , 2002, Applied Intelligence.
[10] Jun Nakanishi,et al. Composite adaptive control with locally weighted statistical learning , 2005, Neural Networks.
[11] Carl E. Rasmussen,et al. A Unifying View of Sparse Approximate Gaussian Process Regression , 2005, J. Mach. Learn. Res..
[12] Stefan Schaal,et al. Incremental Online Learning in High Dimensions , 2005, Neural Computation.
[13] Zoubin Ghahramani,et al. Local and global sparse Gaussian process approximations , 2007, AISTATS.
[14] M. Opper. Sparse Online Gaussian Processes , 2008 .
[15] Duy Nguyen-Tuong,et al. Computed torque control with nonparametric regression models , 2008, 2008 American Control Conference.
[16] Daniel H. Grollman,et al. Sparse incremental learning for interactive robot control policy estimation , 2008, 2008 IEEE International Conference on Robotics and Automation.
[17] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.