MineStudio: A Streamlined Package for Minecraft AI Agent Development • Zhancun Mu

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#

Research: Rapid prototyping of new AI agent architectures
Education: Teaching AI concepts through interactive Minecraft environments
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

Abstract