The field of dynamic vehicle routing and scheduling is growing at a fast pace nowadays, due to many potential applications in courier services, emergency services, truckload and l...
This paper presents properties and results of a new framework for sequential decision-making in multiagent settings called interactive partially observable Markov decision process...
This paper provides general information about research at the University of Auckland into autonomous agents in highly dynamic environments, in particular in RoboCup. The paper desc...
In this paper, we discuss the view that planning software development -- and particularly software reuse -- should be based not on standardized criteria, but on those criteria tha...
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...