Advances in sensing and communication technology make sensor networks a convenient and cost effective tool for collecting data in hard to reach and hazardous areas Increasingly, s...
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...
Developing applications and deploying services for mobile users raises a number of issues and challenges that must be successfully addressed before the era of truly ubiquitous com...
Michael J. O'Grady, Gregory M. P. O'Hare, C. Donag...
Recent studies have investigated how a team of mobile sensors can cope with real world constraints, such as uncertainty in the reward functions, dynamically appearing and disappea...
--Nowadays, the issue of the energy saving on the mobile client is becoming more and more concerned. Among those power conservation techniques, computation offloading schemes are b...