UrbanSim is a modeling system for simulating the development of urban regions over periods of 20-30 years. Its purpose is to help evaluate alternative proposed policies and transp...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
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...
More and more Quality of Service (QoS) sensitive applications, such as streaming media, high bandwidth content distribution and VoIP, will be deployed in Mobile Ad hoc Networks (M...
We describe an application of AI search and information visualization techniques to the problem of school redistricting, in which students are assigned to home schools within a co...
Marie desJardins, Blazej Bulka, Ryan Carr, Andrew ...