Recently, multi-agent systems have proved to be a suitable approach to the development of real-life information systems. In particular, they are used in the domain of safety critic...
In logistics of today's economy we have to deal with distributed systems. To support the demanding management task the multi-agent approach offers promising perspectives. For ...
Context-aware systems capture information from the attributes located within their surroundings and deal with different ways of interacting with the user in its environment. This p...
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
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...