We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
Kimberly Ferguson, Beverly Park Woolf, Sridhar Mah...
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
Situated learning is known to be an effective didactic approach, yet, multimedia systems with built-in support for it are uncommon. We analyze the domain-independent requirements ...
An architecture is described for designing systems that acquire and manipulate large amounts of unsystematized, or so-called commonsense, knowledge. Its aim is to exploit to the fu...
Courseware increasingly consists of generic information and communication tools. These offer a plethora of functionalities, but their usefulness to a particular learning community ...