Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
This article proposes a new distributed architecture for update message exchange in massively multi-user virtual environments (MMVE). MMVE applications require delivery of updates...
Congestion games—in which players strategically choose from a set of “resources” and derive utilities that depend on the congestion on each resource— are important in a wid...
Andrew Byde, Maria Polukarov, Nicholas R. Jennings
Constraint Programming is an attractive approach for solving AI planning problems by modelling them as Constraint Satisfaction Problems (CSPs). However, formulating effective cons...
Andrea Rendl, Ian Miguel, Ian P. Gent, Peter Grego...
Abstract. Database provenance chronicles the history of updates and modifications to data, and has received much attention due to its central role in scientific data management. ...