Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
In e-Learning the interest on the use of new kinds of highly-interactive content is increasing. In this regard video games are one of the media that is gaining momentum because of ...
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
Education in architecture requires access to a broad range of learning materials to develop flexibility and creativity in design. The learning material is compromised of textual an...
Moritz Stefaner, Elisa Dalla Vecchia, Massimiliano...