—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
— This paper presents a generic kinematic modeling approach for articulated multi-monocycle mobile robots. The formulation proposed to deduce the input/output velocity equations ...
Grid systems offer high computing capabilities that are used in many scientific research fields and thus many applications are submitted to these powerful systems. Parallel applica...
SDL is currently gaining interest as a system level specification language for HW/SW codesign. Automated synthesis of SDL in hardware so far had problems with its efficiency. The ...
Oliver Bringmann, Wolfgang Rosenstiel, Annette Mut...
Abstract. The enormous improvements in the efficiency of model-checking techniques in recent years facilitates their application to ever more complex systems of concurrent and dist...
Maurice H. ter Beek, Mieke Massink, Diego Latella,...