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...
Computer architects are constantly faced with the need to improve performance and increase the efficiency of computation in their designs. To this end, it is increasingly common ...
Nathan Clark, Amir Hormati, Scott A. Mahlke, Sami ...
This paper addresses the problem of automated advice provision in settings that involve repeated interactions between people and computer agents. This problem arises in many real ...
A useful approach for enabling computers to automatically create new content is utilizing the text, media, and information already present on the World Wide Web. The newly created...
Lisa M. Gandy, Nathan D. Nichols, Kristian J. Hamm...
Multi-agent system(MAS) is a blooming research area, which exhibits a new paradigm for the design, modelling and implementation of complex systems. A significant amount of effort...
Mengqiu Wang, Mariusz Nowostawski, Martin K. Purvi...