Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
This paper investigates basic research issues that need to be addressed in order to reuse learning objects in a flexible way. We propose an ontology based approach. Our ontology f...
Katrien Verbert, Joris Klerkx, Michael Meire, Jeha...
In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
The paper presents the main findings of the ELeGI project, namely its learning model and software architecture to support the creation and execution of complex learning processes....
DynaLearn is an Interactive Learning Environment that facilitates a constructive approach to developing a conceptual understanding of how systems work. The software can be put in d...