2023 – TDP – YuShan2023 – RoboCupSoccer – Simulation – 2D

This team description paper introduces YuShan2023's team optimiza-tion directions and methods over the past year. The passing module is one of the important modules of the team, and an effective passing strategy will improve the overall strength of the team. Since the parameters of the passing module are too complicated and the data distribution is too heterogeneous, in order to be able to classify the passing data effectively, we propose a method based on ker-nel density negative example learning, which improves the classification effect of different kinds of passing feature data by parsing the game log files. Based on the classification results, the key areas of the offense are extracted to realize the optimization of the decision logic of the team's passing strategy, and certain improvements are achieved in tests with several teams.