Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

13

ICML
2009
IEEE

favoriteEmaildiscussreport

120views Machine Learning» more ICML 2009»

Fast gradient-descent methods for temporal-difference learning with linear function approximation

14 years 5 months ago

Fast gradient-descent methods for temporal-difference learning with linear function approximation

Download carbon.videolectures.net

Csaba Szepesvári, David Silver, Doina Precu

Real-time Traffic

ICML 2009 | Linear Function Approximation | Machine Learning |

claim paper

Related Content

» OffPolicy Temporal Difference Learning with Function Approximation

» Incremental Natural ActorCritic Algorithms

» Predictive State Temporal Difference Learning

» Regularization and feature selection in leastsquares temporal difference learning

» Residual Algorithms Reinforcement Learning with Function Approximation

» Online Metric Learning and Fast Similarity Search

» A FunctionalLinkBased Neurofuzzy Network for Nonlinear System Control

» Standard and averaging reinforcement learning in XCS

» Classifier Optimization for Multimedia Semantic Concept Detection

Post Info
More Details (n/a)

Added	17 Nov 2009
Updated	17 Nov 2009
Type	Conference
Year	2009
Where	ICML
Authors	Csaba Szepesvári, David Silver, Doina Precup, Eric Wiewiora, Hamid Reza Maei, Richard S. Sutton, Shalabh Bhatnagar

Comments (0)