Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
This paper explores the nature of player behaviour in game environments in relation to the methodology of the dramatist Bertolt Brecht. Firstly, a conceptualisation of how manipula...
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
Competency based learning is seen as a means to make the educational system more adapt to cater for , the learners’ professional development and the need to increase their futur...
Abstract. Humans have the ability to flexibly adjust their information processing strategy according to situational characteristics. However, such ability has been largely overloo...