Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Users generally have difficulty understanding and managing computer security tasks. We examined Nintendo's Brain Age games for ways to help users remember more secure passwor...
Real computing systems sometimes need to forget sensitive information. This paper explores the specification and semantics of information erasure policies, which impose a strong,...
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
— When an emergency occurs within a building, it may be initially safer to send autonomous mobile nodes, instead of human responders, to explore the area and identify hazards and...