MineStudio: A Streamlined Package for Minecraft AI Agent Development
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866915310966145024 |
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| author | Cai, Shaofei Mu, Zhancun He, Kaichen Zhang, Bowei Zheng, Xinyue Liu, Anji Liang, Yitao |
| author_facet | Cai, Shaofei Mu, Zhancun He, Kaichen Zhang, Bowei Zheng, Xinyue Liu, Anji Liang, Yitao |
| contents | Minecraft's complexity and diversity as an open world make it a perfect environment to test if agents can learn, adapt, and tackle a variety of unscripted tasks. However, the development and validation of novel agents in this setting continue to face significant engineering challenges. This paper presents MineStudio, an open-source software package designed to streamline the development of autonomous agents in Minecraft. MineStudio represents the first comprehensive integration of seven critical engineering components: simulator, data, model, offline pre-training, online fine-tuning, inference, and benchmark, thereby allowing users to concentrate their efforts on algorithm innovation. We provide a user-friendly API design accompanied by comprehensive documentation and tutorials. Our project is released at https://github.com/CraftJarvis/MineStudio. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_18293 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MineStudio: A Streamlined Package for Minecraft AI Agent Development Cai, Shaofei Mu, Zhancun He, Kaichen Zhang, Bowei Zheng, Xinyue Liu, Anji Liang, Yitao Artificial Intelligence Minecraft's complexity and diversity as an open world make it a perfect environment to test if agents can learn, adapt, and tackle a variety of unscripted tasks. However, the development and validation of novel agents in this setting continue to face significant engineering challenges. This paper presents MineStudio, an open-source software package designed to streamline the development of autonomous agents in Minecraft. MineStudio represents the first comprehensive integration of seven critical engineering components: simulator, data, model, offline pre-training, online fine-tuning, inference, and benchmark, thereby allowing users to concentrate their efforts on algorithm innovation. We provide a user-friendly API design accompanied by comprehensive documentation and tutorials. Our project is released at https://github.com/CraftJarvis/MineStudio. |
| title | MineStudio: A Streamlined Package for Minecraft AI Agent Development |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2412.18293 |