Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
One promise that has always been made in the field of e-learning is the possibility to create and deliver learning material that is adaptable to individual learners. Realising thi...
Learning Content Management Systems (LCMS) store and manage e-learning content and play an important role in the development of Distance Learning technology. ROSA (Repository of O...
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...