In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
We consider a stochastic model for distributed average consensus, which arises in applications such as load balancing for parallel processors, distributed coordination of mobile a...
Abstract. The shift from Web pages to Web services enables programmatic access to the near limitless information on the World Wide Web. Autonomous agents should generate concise an...
Michael Czajkowski, Anna L. Buczak, Martin O. Hofm...
The large amount of information now available on the Web can play a prominent role in building a cooperative intelligent distance learning environment. We propose a system to prov...
Mohammed Abdel Razek, Claude Frasson, Marc Kaltenb...
This paper presents a deployment strategy via self organizing flocking coalitions for mobile sensor network coverage. The concepts of our approach are inspired by the flocking phe...