论文标题

赛勒斯足球模拟2D团队描述论文2022

CYRUS Soccer Simulation 2D Team Description Paper 2022

论文作者

Zare, Nader, Firouzkouhi, Arad, Amini, Omid, Sarvmaili, Mahtab, Sayareh, Aref, Rad, Saba Ramezani, Matwin, Stan, Soares, Amilcar

论文摘要

足球模拟2D联赛是Robocup比赛的主要联赛之一。在足球模拟2D(SS2D)比赛中,两支由11名球员组成的球队和一名教练相互竞争。只允许玩家与称为足球模拟服务器的服务器进行通信。本文介绍了赛勒斯足球模拟团队(Robocup 2021的拥护者)的先前和目前的研究。我们将通过使用PASS预测深神经网络提出有关改善未标记决策和定位的想法。基于我们的实验结果,这一想法被证明可以有效提高对对手的赛勒斯的获胜率。

Soccer Simulation 2D League is one of the major leagues of RoboCup competitions. In a Soccer Simulation 2D (SS2D) game, two teams of 11 players and one coach compete against each other. The players are only allowed to communicate with the server that is called Soccer Simulation Server. This paper introduces the previous and current research of the CYRUS soccer simulation team, the champion of RoboCup 2021. We will present our idea about improving Unmarking Decisioning and Positioning by using Pass Prediction Deep Neural Network. Based on our experimental results, this idea proven to be effective on increasing the winning rate of Cyrus against opponents.

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