Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
As the bandwidth of CPUs and networks continues to grow, it becomes more attractive, for efficiency reasons, to share such resources among several applications with the minimum le...
Mechatronic systems are embedded software systems with hard real-time requirements. Predictability is of paramount importance for these systems. Thus, their design has to take the...
Sven Burmester, Matthias Gehrke, Holger Giese, Sim...
Embedded devices like smart cards can now run multiple interacting applications. A particular challenge in this domain is to dynamically integrate diverse security policies. In th...
One central issue in system structuring and quality prediction is the interdependencies of system modules. This paper proposes a novel technique for determining the operational co...