Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlah...
Queueing Theory deals with problems where some restricted resource should be shared between competitive flow of requests. In this paper we use Queueing Theory methods to perform a...
Moon Ho Lee, Aliaksandr Birukou, Alexander N. Dudi...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
This paper presents a generic meta-model of multi-agent systems based on organizational concepts such as groups, roles and structures. This model, called AALAADIN, defines a very ...
We document our initial e orts to instantiate visuallyguided cooperative behaviors between robotic agents in the minifactory environment. Minifactory incorporates high-precision 2...
Michael L. Chen, Shinji Kume, Alfred A. Rizzi, Ral...