: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
In this paper we consider how to collect data from sensors deployed in the Euclidean plane in a timeefficient way. We assume that all sensors could adjust their transmission range...
Abstract. Many problems in computer science are related to scheduling problems or embedding problems. Therefore it is an interesting topic to find efficient (approximation) algori...
Packet classification is widely used in various network security and operation applications. Two of the main challenges are the increasing number of classification rules, amount o...
Abstract. Approximate Mean Value Analysis (MVA) is a popular technique for analyzing queueing networks because of the efficiency and accuracy that it affords. In this paper, we pre...