This paper presents a reinforcement learning algorithm used to allocate tasks to agents in an uncertain real-time environment. In such environment, tasks have to be analyzed and 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...
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
In this paper we survey known results on algorithms, data structures, and some applications of random sampling from databases. We first discuss various reasons for sampling from d...
Automated verification is one of the most success ful applications of automated reasoning in com puter science. In automated verification one uses algorithmic techniques to es...