827 search results - page 79 / 166 » Variational methods for Reinforcement Learning |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
ICCBR
2010
Springer
13 years 11 months ago
2010
Springer
In this paper we present an approach for reducing the memory footprint requirement of temporal difference methods in which the set of states is finite. We use case-based generaliza...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Advanced surveillance systems for behavior recognition in outdoor traffic scenes depend strongly on the particular configuration of the scenario. Scene-independent trajectory analy...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
ECCV
1998
Springer
14 years 9 months ago
1998
Springer
?We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training ...