MineStudio: A Streamlined Package for Minecraft AI Agent Development
Shaofei Cai, Zhancun Mu, Kaichen He, Bowei Zhang, Xinyue Zheng, Anji Liu, Yitao Liang

TL;DR
MineStudio is an open-source package that simplifies the development and validation of autonomous Minecraft agents by integrating essential engineering components into a user-friendly framework.
Contribution
It introduces the first comprehensive integration of key engineering components for Minecraft AI development, enabling researchers to focus on algorithm innovation.
Findings
Streamlined development process for Minecraft AI agents.
Facilitates research through integrated simulation, data, and benchmarking tools.
Open-source release with extensive documentation and tutorials.
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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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Mobile Agent-Based Network Management · Service-Oriented Architecture and Web Services
