The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
The primary original design goal for email was to provide best-effort message delivery. Unfortunately, as the ever increasing uproar over SPAM demonstrates, the existing email inf...
Saket Kaushik, Paul Ammann, Duminda Wijesekera, Wi...
With standard assumptions the routing and wavelength assignment problem (RWA) can be viewed as a Markov Decision Process (MDP). The problem, however, defies an exact solution bec...
Social navigation is a promising approach to help users make better privacy and security decisions using community knowledge and expertise. Social navigation has recently been app...
Andrew Besmer, Jason Watson, Heather Richter Lipfo...