Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023

• URL: http://arxiv.org/abs/2305.19283v1
• Date: Sat, 27 May 2023 20:46:33 GMT
• Title: Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023
• Authors: Aref Sayareh, Nader Zare, Omid Amini, Arad Firouzkouhi, Mahtab Sarvmaili, Stan Matwin
• Abstract summary: 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)
• Score: 7.658318240235567
• License: http://creativecommons.org/publicdomain/zero/1.0/
• 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.

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