We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
in CHI’97 Extended Abstract, ACM Press, pp. 319-320 based awareness tools and iconic indicators because it meets three crucial user requirements. This paper describes the activit...
: Academic clock routing research results has often had limited impact on industry practice, since such practical considerations as hierarchical buffering, rise-time and overshoot ...
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
Historically, efforts at user modelling in educational systems have tended to employ knowledge representations in which symbolic (or "linguistic") cognition is emphasize...