In this paper we investigate the benefits of a heterogeneous architecture for wireless sensor networks composed of a few resource rich mobile nodes and a large number of simple s...
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Online social networks (OSNs) are popular collaboration and communication tools for millions of users and their friends. Unfortunately, in the wrong hands, they are also effective...
Hongyu Gao, Jun Hu, Christo Wilson, Zhichun Li, Ya...
The largest enterprise networks already contain hundreds of thousands of hosts. Enterprise networks are composed of Ethernet subnets interconnected by IP routers. These routers re...
Brent Stephens, Alan L. Cox, Scott Rixner, T. S. E...
We investigate the extent to which price updates can increase the revenue of a seller with little prior information on demand. We study prior-free revenue maximization for a selle...