Abstract
The RoboCup competitions hold various leagues, and the Soccer Simulation 2D League is a major one among them. Soccer Simulation 2D (SS2D) match involves two teams, including 11 players and a coach, competing against each other. The players can only communicate with the Soccer Simulation Server during the game. This paper presents the latest research of the CYRUS soccer simulation 2D team, the champion of RoboCup 2021. We will explain our denoising idea powered by long short-term memory networks (LSTM) and deep neural networks (DNN). The CYRUS team uses the CYRUS2D base code that was developed based on the Helios and Gliders bases.
Abstract (translated)
RoboCup竞赛包括各种联赛，而足球模拟2D联赛是其中一个重要的联赛。足球模拟2D(SS2D)比赛涉及两个队伍，包括11名球员和一名教练，互相竞争。在比赛中，球员只能与足球模拟服务器进行通信。本文介绍了CYRUS足球模拟2D团队，2021 RoboCup冠军团队的最新研究。我们将解释我们使用长短期记忆网络(LSTM)和深度神经网络(DNN)进行去噪的想法。CYRUS团队使用基于Helios和 Glider基础的CYRUS2D基代码。
URL
https://arxiv.org/abs/2305.19283
