We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Pervasive learning promises an exciting learning environment such that users can access content and study them at anytime, anywhere, through any devices. Besides delivering the ri...
Zhiwen Yu, Norman Lin, Yuichi Nakamura, Shoji Kaji...
The CALO desktop assistant aims to provide assistance through many AI technologies, including several techniques for learning to perform tasks. Based on our experiences implementi...
The main objective of the CONNECT project is to develop an innovative pedagogical framework that attempts to blend formal and informal learning, proposing an educational reform to ...
The crisis in science education and the need for innovative computer-based learning environments has prompted us to develop a multi-agent system, Betty’s Brain that implements t...
Krittaya Leelawong, Karun Viswanath, Joan M. Davis...