We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
Computer visualization and networking have advanced dramatically over the last few years, partially driven by the exploding video game market. 3D hardware acceleration has reached...
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Wh...
In most of the existing approaches to the design of multiagent systems, there is no clear way in which to relate organisational and normative structures to the model of the enviro...
In many multiagent settings, situations arise in which agents must collectively make decisions while not every agent is supposed to have an equal amount of influence in the outcom...