— The increasing heterogeneity, dynamism, and uncertainty of emerging DCE (Distributed Computing Environment) systems imply that an application must be able to detect and adapt t...
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
Recently there has been a growing interest of research in tabling in the logic programming community because of its usefulness in a variety of application domains including progra...
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...