This paper describes the eBag infrastructure, which is a generic infrastructure inspired from work with school children who could bene t from a electronic schoolbag for collaborat...
Christina Brodersen, Bent Guldbjerg Christensen, K...
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...