Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...
We study principled methods for incorporating user utility into the selection of sponsored search ads. We describe variations of the GSP allocation/pricing mechanism that accommod...
When the same set of people interact frequently with one another, they grow to think more and more along the same lines, a phenomenon we call "collective cognitive convergenc...
H. Van Dyke Parunak, Theodore C. Belding, Rainer H...
This paper presents a task allocation scheme via selforganizing swarm coalitions for distributed mobile sensor network coverage. Our approach uses the concepts of ant behavior to ...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr...