In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
We use a decomposition approach to generate cooperative strategies for a class of multi-vehicle control problems. By introducing a set of tasks to be completed by the team of vehi...
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
— Recent studies indicate the presence of a significant amount of idle licensed spectrum, in different time periods and geographic locations. Prompted by the latest regulatory ch...
George Alyfantis, Giannis F. Marias, Stathes Hadji...
Pervasive games provide a new type of game combining new technologies with the real environment of the players. While this already poses new challenges to the game developer, requ...
Wolfgang Broll, Jan Ohlenburg, Irma Lindt, Iris He...