Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning

Author:

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

Publisher

Springer International Publishing

Reference16 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);H Akiyama,2014

2. Khayami, R., et al.: CYRUS 2D simulation team description paper 2014. In: RoboCup 2014 Symposium and Competitions: Team Description Papers 2014. Joao Pessoa, Brazil (2014)

3. Zare, N., et al.: CYRUS 2D simulation team description paper 2015. In: The 19th Annual RoboCup International Symposium. China, Hefei (2015)

4. Zare, N., et al.: Cyrus 2D simulation team description paper 2018. In: RoboCup 2018 Symposium and Competitions. Montreal, Canada (2018)

5. Zare, N., et al.: Cyrus 2D simulation 2019. In: RoboCup 2019 Symposium and Competitions. Sydney, Australia (2019)

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2. Cyrus2D Base: Source Code Base for RoboCup 2D Soccer Simulation League;RoboCup 2022:;2023

3. An individual dribbling control strategy for virtual humans combining kinetic animation and lightweight physics;2022 IEEE 21st International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS);2022-12

4. Passing Strategy Optimization Based on Kernel Density Negative Example Learning Within RoboCup 2D Simulation;2022 International Conference on Machine Learning, Control, and Robotics (MLCR);2022-10

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