: 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...
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
Market-based resource management is becoming an emerging issue as the utilization of Grid computing is growing rapidly, particularly in the business field. In this paper, we prov...
Grid computing involves the transparent sharing of computational resources of many types by users across large geographic distances. The altruistic nature of many current grid reso...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...