827 search results - page 77 / 166 » Variational methods for Reinforcement Learning |
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
We propose a framework for the extraction of biomarkers from low-dimensional manifolds representing inter- and intra-subject brain variation in MR image data. The coordinates of ea...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...
CIS
2005
Springer
14 years 1 months ago
2005
Springer
Recently, actor-critic methods have drawn much interests in the area of reinforcement learning, and several algorithms have been studied along the line of the actor-critic strategy...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Previous algorithms for learning lexicographic preference models (LPMs) produce a "best guess" LPM that is consistent with the observations. Our approach is more democra...