149 search results - page 2 / 30 » Learning by Discovering Concept Hierarchies |
ICML
2002
IEEE
14 years 6 months ago
2002
IEEE
An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...
ECML
2004
Springer
13 years 10 months ago
2004
Springer
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
CSMR
2005
IEEE
13 years 11 months ago
2005
IEEE
Object-oriented applications are difficult to extend and maintain, due to the presence of implicit dependencies in the inheritance hierarchy. Although these dependencies often co...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...
WAPCV
2007
Springer
13 years 11 months ago
2007
Springer
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...