Mobile computing technologies and social software have given new challenges to technology-enhanced learning. Simple e-learning system personalization, adaptation and authoring beco...
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Abstract. This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to ove...
This paper describes our approach of utilizing a computational environment to apply a learner’s learning process as a first class object. With this approach, the learner’s le...
A general class of no-regret learning algorithms, called no-Φ-regret learning algorithms, is defined which spans the spectrum from no-external-regret learning to no-internal-reg...