Individual learning capabilities can vary from gifted to exceptionally slow; some students may take longer to understand a concept and may not be able to achieve the expected stan...
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
This paper describes the Mentor Component, which is part of an Affective Educational Module for distance learning. The main purpose of the Affective Module is to motivate the stud...
Makis Leontidis, Alexandra Gasparinatou, Maria Gri...
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...