We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user...
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
Project-centred learning is increasingly used both in academia and in companies; universities train students to master complex tasks, often suggested by real-life situations, while...
This paper argues that the key challenges facing HE institutions in 2007 are the same as a decade previously and therefore that lessons may be learned from previous attempts to emp...
An additional platform for supporting learning in the same physical space in which it takes place, is now available owing to the continuous advancement of wireless and mobile tech...
Rosa G. J. Paredes, Hiroaki Ogata, Yoneo Yano, Ger...