Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
Motivated by the growth of various networked systems as potential market places, we study market models wherein, owing to the size of the markets, transactions take place between l...
Atish Das Sarma, Deeparnab Chakrabarty, Sreenivas ...
We consider the problem of a spatially distributed market with strategic agents. A single good is traded in a set of independent markets, where shipment between markets is possibl...
In this paper, a novel protocol for providing both client and server anonymity in peer-to-peer (P2P) based grids is presented. The protocol assumes individual nodes or users to be...
Rohit Gupta, Souvik Ray, Arun K. Somani, Zhao Zhan...
This paper develops a context aware framework to address the diverse communication needs of a modern enterprise. Such enterprises are characterized by workers in different locatio...
Munmun De Choudhury, Hari Sundaram, Ajita John, Do...