Constructing Evaluation Functions from Game Logs for RoboCup Soccer 2D Simulation

Abstract

Game logs have fruitful information on the game situation. It is no doubt that important information on the team strategies for winning the games are embedded into the game logs. In this paper, a method is proposed that extract team strategies from game logs. The extracted information is used to train non-linear functions.