This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
: We present our idea of solving parts of the vision task with an organic computing approach. We have designed a multiagent system (MAS) of many different modules working on differ...
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
: This paper describes an application of a machine-learning agent, SimStudent, as a teachable peer learner that allows a student to learn by teaching. SimStudent has been integrate...
Noboru Matsuda, Evelyn Yarzebinski, Victoria Keise...
Abstract. The analysis of usability aspects of multi-user systems, such as cooperative work systems and pervasive systems, pose particular problems because group behavior of their ...
Mieke Massink, Diego Latella, Maurice H. ter Beek,...