This paper considers online stochastic reservation problems, where requests come online and must be dynamically allocated to limited resources in order to maximize profit. Multi-k...
Pascal Van Hentenryck, Russell Bent, Yannis Vergad...
This paper presents a new methodology for system-level power and performance analysis of wireless multimedia systems. More precisely, we introduce an analytical approach based on ...
Radu Marculescu, Amit Nandi, Luciano Lavagno, Albe...
Abstract. We present experimental results about learning function values (i.e. Bellman values) in stochastic dynamic programming (SDP). All results come from openDP (opendp.sourcef...
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Labelled Markov processes (LMPs) are labelled transition systems in which each transition has an associated probability. In this paper we present a universal LMP as the spectrum o...