Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains
such as robotics or distributed controls. The article focuses on decentralized reinforcement …

Heuristic approaches require fixed knowledge of how resource allocation should be carried
out, and this can be limiting when managing variable cloud workloads. Solutions based on …

Unfair pricing policies have been shown to be one of the most negative perceptions
customers can have concerning pricing, and may result in long-term losses for a company …

Traffic Monitoring assists in achieving network stability by observing and quantifying its
behavior. A proper traffic monitoring solution requires the accurate and timely collection of …

The emerging use of multi-homed wireless devices along with simultaneous multi-path data
transfer offers tremendous potentials to improve the capacity of multi-hop wireless networks …

Distributed-air-jet MEMS-based systems have been proposed to manipulate small parts with
high velocities and without any friction problems. The control of such distributed systems is …

Recently, a great deal of interest has been developed in learning in multi-agent systems to
achieve decentralized control. Machine learning is a popular approach to find controllers …

Programming by demonstration represent a significant subject in the field of robotics and it is
developing more and more in the direction of robots for services and humanoid robots …

One problem common to many reinforcement learning algorithms is their need for large
amounts of training, resulting in a variety of methods for speeding up these algorithms. We …

Aiming at the problem of the slow speed of reinforcement learning, a tentative Q learning
algorithm is proposed. By improving the number of exploration in each learning iteration and …