Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Brian Tierney, William E. Johnston, Jason Lee, Mar...
Scheduling divisible loads in distributed systems is the subject of Divisible Load Theory (DLT). In this paper we show that coalitional game theory is a natural fit for modeling ...
Though skyline queries already have claimed their place in retrieval over central databases, their application in Web information systems up to now was impossible due to the distri...
—We study the dissemination of dynamic content, such as news or traffic information, over a mobile social network. In this application, mobile users subscribe to a dynamic-conte...