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...
Large scale ontology applications require efficient and robust description logic (DL) reasoning services. Expressive DLs usually have very high worst case complexity while tractab...
Agents in dynamic environments have to deal with world rep- To appear in: RoboCup 2005: Robot Soccer World Cup IX, c Springer-Verlag, 2006 resentations that change over time. In or...
Andreas D. Lattner, Andrea Miene, Ubbo Visser, Ott...
In this paper, we investigate the link between logics of games and “mentalistic” logics of rational agency, in which agents are characterized in terms of attitudes such as beli...
Wojciech Jamroga, Wiebe van der Hoek, Michael Wool...
Security at major locations of economic or political importance is a key concern around the world, particularly given the threat of terrorism. Limited security resources prevent f...
James Pita, Manish Jain, Janusz Marecki, Fernando ...