131 search results - page 3 / 27 » Approximate dynamic programming using support vector regress... |
IROS
2008
IEEE
14 years 1 days ago
2008
IEEE
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
CIRA
2007
IEEE
13 years 12 months ago
2007
IEEE
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
ISCI
2008
13 years 5 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
QRE
2010
2010
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
13 years 4 months ago
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
ESANN
2007
13 years 7 months ago
2007
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...