2019 Volume 139 Issue 10 Pages 1128-1133
The quality of decision making by a RoboCup soccer agent depends on a path-planning and an evaluation function of a soccer field. In this paper, we employ a 5-layered neural network as the evaluation function. We examine the performance of the soccer agents with various features (ball coordinates and opponents' positions). We found that the neural network model helps soccer agents to imitate an expert team's decision making.
The transactions of the Institute of Electrical Engineers of Japan.C
The Journal of the Institute of Electrical Engineers of Japan