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 five‐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.

中文翻译：

---

具有神经网络的RoboCup足球评估功能建模

RoboCup足球代理商的决策质量取决于足球场的路径规划和评估功能。在本文中，我们采用五层神经网络作为评估函数。我们通过各种功能（球坐标和对手的位置）来检查足球经纪人的表现。我们发现神经网络模型可以帮助足球经纪人模仿专家团队的决策。