Application of C5.0 Algorithm in Passing Ball Training of RoboCup
Wei Zhang · Jisuanji fangzhen · 2006
The learning methods based on Decision Tree are discussed in order to solve the problem that in RoboCup games is not precise.A training algorithm for the Passing Ball Ability of the agents in the RoboCup Simulator League is presented in this paper.It makes agents determine that to which teammate is the best choice according to the current status in the field.When agent has controlled and determined to pass to which teammate,it does not pass right now,but it will adjust itself to reach the best condition in order to adapt the current situation.Finally it will do passing ball action.The results of the experiments have proved that this training algorithm really is good for ball.