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.
@article{arxiv.2412.18293,
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},
journal= {arXiv preprint arXiv:2412.18293},
year = {2025}
}