Abstract
With the improvement of computing power, online search methods have become available for action selection in continuous action statespace tasks. However, it is not easy to acquire an appropriate evaluation function for action selection and its adjustment requires much costs. In order to facilitate this process, we designed a GUI that supports human trainer in evaluating actions generated by agents. We use the RoboCup soccer 2D simulation as an experimental environment.