In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
Abstract. After introducing the concept of mobile agents and potential application domains, we motivate why mobile agent technology is an interesting concept for large Internet-bas...
: Multi-Agent Systems (MAS) constitute a well known approach in modelling dynamical real world systems. Recently, this technology has been applied to Wireless Communication Systems...
P. M. Papazoglou, Dimitris A. Karras, Rallis C. Pa...
Abstract. We give an overview of important results for non-atomic congestion games in their traditional form along with self-contained and short proofs and then present new results...
Scheduling is a critical and challenging resource allocation mechanism for multi-hop wireless networks. It is well known that scheduling schemes that give a higher priority to the ...