Abstract. In this paper we compare state-of-the-art multi-agent reinforcement learning algorithms in a wide variety of games. We consider two types of algorithms: value iteration a...
H. Jaap van den Herik, Daniel Hennes, Michael Kais...
This paper examines the issue of dynamically scheduling applications on a wide-area network computing system. We construct a simulation model for wide-area task allocation problem...
: The paper analyses broadband diffusion from a multitude of angles. The main objective of the analysis is thus to investigate the reasons behind an adoption delay present in certa...
We investigate the behaviour of load-adaptive rerouting policies in the Wardrop model where decisions must be made on the basis of stale information. In this model, an infinite n...
This paper details a true and striking paradigm shift: the use of E-Prime for (at least) user-centered security, organizational/enterprise security policies and informal security ...