Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Since about two decades, many works have been made in order to provide solutions to the vehicle platoon problem. The main issue related to platoon systems consists in controling t...
Jean-Michel Contet, Franck Gechter, Pablo Gruer, A...
Abstract: Peer data management systems (PDMS) are a highly dynamic, decentralized infrastructure for large-scale data integration. They consist of a dynamic set of autonomous peers...
Abstract. One of the most significant paradigm shifts of software business management is that individual organizations no longer compete as single entities but as complex dynamic ...
Slinger Jansen, Anthony Finkelstein, Sjaak Brinkke...
In this paper, we study the maintenance of role-based access control (RBAC) models in database environments using transitive closure relations. In particular, the algorithms that ...