We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
Abstract— The ability to prevent risks as well as to appropriately counteract occurring threats has increasingly become a crucial success factor. Traditional business process man...
Gernot Goluch, Andreas Ekelhart, Stefan Fenz, Stef...
In this paper, we present a new deformable model — 2.5D Active Contour— that is capable of directly extracting shape geometry from 3D unorganized point cloud datasets. The rec...
There are information needs involving costly decisions that cannot be efficiently satisfied through conventional web search engines. Alternately, community centric search can prov...
Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun'ichi Tatemu...
—Current industrial applications demand the design of more and more complex, safe and trustworthy control systems which exhibit a high degree of flexibility and reutilization. To...
Elisabet Estevez, Isabel Sarachaga, Federico Perez...