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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.14358 |
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| _version_ | 1866909209306595328 |
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| author | Wang, Chen Song, Yan Wu, Shuai Wu, Sa Zhang, Ruizhi Lin, Shu Zhang, Haifeng |
| author_facet | Wang, Chen Song, Yan Wu, Shuai Wu, Sa Zhang, Ruizhi Lin, Shu Zhang, Haifeng |
| contents | Between 2021 and 2023, AI-Olympics, a series of online AI competitions was hosted by the online evaluation platform Jidi in collaboration with the IJCAI committee. In these competitions, an agent is required to accomplish diverse sports tasks in a two-dimensional continuous world, while competing against an opponent. This paper provides a brief overview of the competition series and highlights notable findings. We aim to contribute insights to the field of multi-agent decision-making and explore the generalization of agents through engineering efforts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_14358 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI-Olympics: Exploring the Generalization of Agents through Open Competitions Wang, Chen Song, Yan Wu, Shuai Wu, Sa Zhang, Ruizhi Lin, Shu Zhang, Haifeng Multiagent Systems Between 2021 and 2023, AI-Olympics, a series of online AI competitions was hosted by the online evaluation platform Jidi in collaboration with the IJCAI committee. In these competitions, an agent is required to accomplish diverse sports tasks in a two-dimensional continuous world, while competing against an opponent. This paper provides a brief overview of the competition series and highlights notable findings. We aim to contribute insights to the field of multi-agent decision-making and explore the generalization of agents through engineering efforts. |
| title | AI-Olympics: Exploring the Generalization of Agents through Open Competitions |
| topic | Multiagent Systems |
| url | https://arxiv.org/abs/2405.14358 |