ACM Transactions on Intelligent Systems and Technology (TIST): Volume 3 Issue 4, September 2012
Citation Count: 2
Downloads (6 Weeks): 3, Downloads (12 Months): 22, Downloads (Overall): 285
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We present a novel ensemble architecture for learning problem-solving techniques from a very small number of expert solutions and demonstrate its effectiveness in a complex real-world domain. The key feature of our “Generalized Integrated Learning Architecture” (GILA) is a set of heterogeneous independent learning and reasoning (ILR) components, coordinated by ...
Ensemble architecture, complex problem-solving, learning from demonstration
IJCAI'09: Proceedings of the 21st international jont conference on Artifical intelligence
Publisher: Morgan Kaufmann Publishers Inc.
Goal Driven Learning (GDL) focuses on systems that determine by themselves what has to be learnt and how to learn it. Typically GDL systems use meta-reasoning capabilities over a base reasoner, identifying learning goals and devising strategies. In this paper we present a novel GDL technique to deal with complex ...