Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
The structural organization of biological systems is one of nature’s most fascinating aspects, but its origin and functional role is not yet fully understood. For instance, basi...
Abstract-- We present a computational framework for automatic synthesis of a feedback control strategy for a piecewise affine (PWA) system from a specification given as a Linear Te...
Jana Tumova, Boyan Yordanov, Calin Belta, Ivana Ce...
This paper presents a component-based product line for workflow management systems. The process followed to design the product line was based on the Catalysis method. Extensions w...
Motivated by the increasing need to handle complex multidimensional data in location-based data warehouses, this paper proposes a powerful data model that is able to capture the c...