MineStudio: A Streamlined Package for Minecraft AI Agent Development

Shaofei Cai, Zhancun Mu, Kaichen He, Bowei Zhang, Xinyue Zheng +2 more
12/24/2024
cs.AI

Official code: CraftJarvis/MineStudio (414 stars, MIT, last commit 2026-04-13).

Abstract

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.

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Code Implementations(1)

CraftJarvis/MineStudioOfficial100%
MIT

MineStudio: A Streamlined Package for Minecraft AI Agent Development

41433Cuda, GLSLNov 7, 20246 months agoMIT
autonomous-agentsdatasetgameimitation-learningminecraft+2 more

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Cite this paper

@article{cai2024minestudio,
  title  = {MineStudio: A Streamlined Package for Minecraft AI Agent Development},
  author = {Shaofei Cai and Zhancun Mu and Kaichen He and Bowei Zhang and Xinyue Zheng and Anji Liu and Yitao Liang},
  year   = {2024},
  eprint = {2412.18293},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.18293v3}
}

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