827 search results - page 59 / 166 » Variational methods for Reinforcement Learning |
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
We propose a deterministic method to evaluate the integral of a positive function based on soft-binning functions that smoothly cut the integral into smaller integrals that are ea...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
CSDA
2007
13 years 7 months ago
2007
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
ICRA
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— Categorizing visual elements is fundamentally important for autonomous mobile robots to get intelligence such as new object acquisition and topological place classific...
ROBOCUP
2004
Springer
14 years 1 months ago
2004
Springer
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...