This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This paper introduces new methods for label ra...
Adaptive Hypermedia (AH) can offer a richer learning experience, tailored to students’ needs. However, authoring of AH is complex. Several models and systems have been developed...
Maurice Hendrix, Alexandra I. Cristea, Craig Stewa...
The L4All system allows learners to record and share learning pathways through educational offerings, with the aim of facilitating progression from Secondary Education through to F...
Nicolas van Labeke, George D. Magoulas, Alexandra ...