Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2024
CYRUS Robotic Team（CYRUS机器人团队）；Memorial University of Newfoundland（纽芬兰纪念大学）；Sharif University of Technology（谢里夫理工大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）
In the Soccer Simulation 2D environment, accurate observation is crucial for effective decision making. However, challenges such as partial observation and noisy data can hinder performance. To address these issues, we propose a denoising algorithm that leverages predictive modeling and intersection analysis to enhance the accuracy of observations. Our approach aims to mitigate the impact of noise and partial data, leading to improved gameplay performance. This paper presents the framework, implementation, and preliminary results of our algorithm, demonstrating its potential in refining observations in Soccer Simulation 2D. Cyrus 2D Team is using a combination of Helios, Gliders, and Cyrus base codes.
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023
Memorial University of Newfoundland（纽芬兰纪念大学）；Dalhousie University（达尔豪斯大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）；Polish Academy of Sciences（波兰科学院）
CYRUS Soccer Simulation 2D Team Description Paper 2022
Dalhousie University（达尔豪斯大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）；Qom University of Technology（库姆理工大学）；Shiraz University（设拉子大学）；Polish Academy of Sciences（波兰科学院）；Memorial University of Newfoundland（纽芬兰纪念大学）
Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League
Institute for Big Data Analytics, Dalhousie University（达尔豪斯大学大数据分析研究所）；Qom University of Technology（库姆理工大学）；Shiraz University（设拉子大学）；Amirkabir University of Technology（阿米卡比尔理工大学）；Institute for Computer Science, Polish Academy of Sciences（波兰科学院计算机科学研究所）；Memorial University of Newfoundland（纽芬兰纪念大学）
Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation
Dalhousie University（达尔豪斯大学）；Memorial University of Newfoundland（纽芬兰纪念大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）；Polish Academy of Sciences（波兰科学院）
K. N. Toosi University of Technology（K. N. 图西理工大学）；Qazvin Azad University（加兹温阿扎德大学）；Tehran University（德黑兰大学）
Cyrus 2D Soccer Simulation成立于2012年，旨在研究和开发多智能体系统。今年我们与Ziziphus合作，加快了我们的研究。本文简要介绍了一种利用神经网络对多智能体系统中玩家行为进行预测的方法。该数据集是从过去几年RoboCup比赛的日志文件中获得的。行为预测用于拦网、盯人和防守决策。塞勒斯使用的基本代码是特工3.11.
Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning
Institute for Big Data Analytics, Dalhousie University（达尔豪斯大学大数据分析研究所）；Qom University of Technology（库姆科技大学）；Shiraz University（设拉子大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）；Institute for Computer Science, Polish Academy of Sciences（波兰科学院计算机科学研究所）；Memorial University of Newfoundland（纽芬兰纪念大学）
本文介绍了 RoboCup 2021 2D 足球仿真冠军 CYRUS 的三大核心功能：多动作盘带、传球预测和盯人决策，分别提升了盘带成功率、团队协作和防守策略。
Designing a skilled soccer team for RoboCup: exploring skill-set-primitives through reinforcement learning
LIACC/LASI/FEUP, Artificial Intelligence and Computer Science Laboratory, Faculty of Engineering, University of Porto（LIACC/LASI/FEUP，人工智能与计算机科学实验室，工程学院，波尔图大学）；IEETA/LASI/DETI, Institute of Electronics and Informatics Engineering of Aveiro, Department of Electronics Telecommunications and Informatics, University of Aveiro（IEETA/LASI/DETI，埃维亚电子与信息工程研究所，电子电信与信息系，埃维亚大学）
Real-Time Kinodynamic Motion Planning for Omnidirectional Mobile Robot Soccer using Rapidly-Exploring Random Tree in Dynamic Environment with Moving Obstacles
Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games
Institute for Big Data Analytics, Dalhousie University（达尔豪斯大学大数据分析研究所）；Shiraz University（设拉子大学）；Qom University of Technology（库姆理工大学）；Institute for Computer Science, Polish Academy of Sciences（波兰科学院计算机科学研究所）；Memorial University of Newfoundland（纽芬兰纪念大学）
