This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Research on organization of Multi-Agent Systems (M.A.S.) has shown that by adapting its organization, a M.A.S. is better able to operate in dynamic environments. In this paper we ...
Mattijs Ghijsen, Wouter N. H. Jansweijer, Bob J. W...
Problem-based learning is a pedagogical strategy that centers learning activities around the investigation and development of solutions to complex and ill-structured authentic pro...