509 search results - page 80 / 102 » Compositional Models for Reinforcement Learning |
AAMAS
2006
Springer
13 years 8 months ago
2006
Springer
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
BMCBI
2008
13 years 8 months ago
2008
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
ICDS
2010
IEEE
14 years 1 months ago
2010
IEEE
—Learning ontology from text is a challenge in knowledge engineering research and practice. Learning relations between concepts is even more difficult work. However, when conside...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...