Enforcing rich policies in open environments will increasingly require the ability to dynamically identify external sources of information necessary to enforce different policies (...
The emerging ubiquitous computing vision is characterized by decentralized and ad hoc interoperation among devices and networks for access to services. Interacting devices or grou...
Venkatraman Ramakrishna, Kevin Eustice, Peter L. R...
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
In this paper, we present Power Agent - a pervasive game designed to encourage teenagers and their families to reduce energy consumption in the home. The idea behind this mobile p...