5 search results - page 1 / 1 » Q-Concept-Learning: Generalization with Concept Lattice Repr... |
ICTAI
2003
IEEE
13 years 9 months ago
2003
IEEE
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
CLA
2007
13 years 6 months ago
2007
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
SARA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We present The Cruncher, a simple representation framework and algorithm based on minimum description length for automatically forming an ontology of concepts from attrib...
AOSD
2009
ACM
13 years 2 months ago
2009
ACM
Traditional methods characterize a software product line's requirements using either functional or quality criteria. This appears to be inadequate to assess modularity, detec...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...