Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2024
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911910715195392 |
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| author | Zare, Nader Sayareh, Aref Khanjari, Sadra Firouzkouhi, Arad |
| author_facet | Zare, Nader Sayareh, Aref Khanjari, Sadra Firouzkouhi, Arad |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_05623 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2024 Zare, Nader Sayareh, Aref Khanjari, Sadra Firouzkouhi, Arad Robotics Artificial Intelligence 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. |
| title | Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2024 |
| topic | Robotics Artificial Intelligence |
| url | https://arxiv.org/abs/2406.05623 |