Zhancun Mu

MineStudio: A Streamlined Package for Minecraft AI Agent Development

Shaofei Cai*, Zhancun Mu*, Kaichen He, Bowei Zhang, Xinyue Zheng, Anji Liu, Yitao Liang

* Equal contribution

arXiv preprint • 2024

MineStudio: A Streamlined Package for Minecraft AI Agent Development teaser

Abstract#

MineStudio is a streamlined package for Minecraft AI agent development, released on GitHub and PyPI. This package provides researchers and developers with a comprehensive toolkit for building and testing AI agents in the Minecraft environment.

Features#

🚀 Easy Installation#

  • Simple pip install process
  • Minimal dependencies
  • Cross-platform support

🛠️ Comprehensive Tools#

  • Agent development framework
  • Environment setup utilities
  • Evaluation metrics and benchmarks
  • Visualization tools

📊 Benchmarking Suite#

  • Standard evaluation protocols
  • Multiple task categories
  • Performance metrics
  • Comparison baselines

Getting Started#

pip install minestudio
bash
import minestudio as ms

# Create a new agent
agent = ms.Agent()

# Set up environment
env = ms.Environment()

# Start training
agent.train(env)
python

Use Cases#

  1. Research: Rapid prototyping of new AI agent architectures
  2. Education: Teaching AI concepts through interactive Minecraft environments
  3. Development: Building production-ready Minecraft AI applications

Community#

MineStudio has an active community of researchers and developers contributing to the project. We welcome contributions, bug reports, and feature requests.

Citation#

If you use MineStudio in your research, please cite:

@article{cai2024minestudio,
  title={MineStudio: A Streamlined Package for Minecraft AI Agent Development},
  author={Cai, Shaofei and Mu, Zhancun and He, Kaichen and Zhang, Bowei and Zheng, Xinyue and Liu, Anji and Liang, Yitao},
  journal={arXiv preprint arXiv:2412.18293},
  year={2024}
}
bibtex
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