In the this paper, we study the problem of collective resource management. We first introduce the problem through realworld examples. Then we generalize the problem and build an a...
Recent work shows that the memory requirements of bestfirst heuristic search can be reduced substantially by using a divide-and-conquer method of solution reconstruction. We show...
Market-based compute grids encompass service providers offering limited resources to potential users with varying demands and willingness to pay. Providers face difficult decisions...
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...
Abstract. Many heuristic estimators for classical planning are based on the socalled delete relaxation, which ignores negative effects of planning operators. Ideally, such heuristi...