Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Abstract. Recent developments in computer and communication networks require scheduling decisions to be made under increasingly complex system dynamics. We model and analyze the pr...
—In this paper, we propose a quasi-static scheduling (QSS) method applicable to actor-oriented SystemC designs. QSS determines a schedule where several static schedules are combi...
Achieving high performance under a peak temperature limit is a first-order concern for VLSI designers. This paper presents a new model of a thermally-managed system, where a stoch...
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...