486 search results - page 32 / 98 » A Bayesian Framework for Reinforcement Learning |
ICC
2007
IEEE
14 years 4 months ago
2007
IEEE
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
EUROCAST
2007
Springer
14 years 4 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
ICAC
2008
IEEE
14 years 4 months ago
2008
IEEE
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
HIS
2004
13 years 11 months ago
2004
In this paper, we describe how certain aspects of the biological phenomena of stigmergy can be imported into multiagent reinforcement learning (MARL), with the purpose of better e...
KDD
2002
ACM
14 years 10 months ago
2002
ACM
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...