In this paper, we discuss the use of Targeted Trajectory Distribution Markov Decision Processes (TTD-MDPs)—a variant of MDPs in which the goal is to realize a specified distrib...
Sooraj Bhat, David L. Roberts, Mark J. Nelson, Cha...
Distributed Constraint Optimization (DCOP) is a general framework that can model complex problems in multi-agent systems. Several current algorithms that solve general DCOP instan...
Multiagent Partially Observable Markov Decision Processes are a popular model of multiagent systems with uncertainty. Since the computational cost for finding an optimal joint pol...
The World Wide Web contains a huge and increasing volume of information. The web warehouse is an efficient and effective means to facilitate utilization of information on the Web,...
As checking SPAM became part of our daily life, unsolicited bulk e-mails (UBE) have become unmanageable and intolerable. Bulk volume of spam e-mails delivering to mail transfer ag...