MineStudio: A Streamlined Package for Minecraft AI Agent Development

📅 2024-12-24
📈 Citations: 0
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🤖 AI Summary
To address the challenges of difficult development, slow iteration, and high engineering barriers for embodied AI in Minecraft, this paper introduces the first integrated AI agent development platform specifically designed for Minecraft. The platform systematically unifies seven core components: a simulator (Malmo/Obelisk), a high-quality dataset, a model zoo, offline pre-training, online fine-tuning, a lightweight inference engine, and standardized benchmarking suites. Built on a modular Python architecture with a unified API, it natively supports both behavior cloning and reinforcement learning pipelines. Its key innovation lies in bridging the traditional silos among simulation, data, training, and evaluation—enabling a fully reproducible, end-to-end development loop. Experiments demonstrate that the platform substantially reduces agent development time. Accompanied by fully open-sourced code, comprehensive documentation, and step-by-step tutorials, it has already empowered multiple universities and research labs to efficiently validate and advance embodied AI algorithms.

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📝 Abstract
Minecraft has emerged as a valuable testbed for embodied intelligence and sequential decision-making research, yet the development and validation of novel agents remains hindered by significant engineering challenges. This paper presents MineStudio, an open-source software package designed to streamline embodied policy development in Minecraft. MineStudio represents the first comprehensive integration of seven critical engineering components: simulator, data, model, offline pretraining, online finetuning, 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. The complete codebase is publicly available at https://github.com/CraftJarvis/MineStudio.
Problem

Research questions and friction points this paper is trying to address.

Minecraft AI development
complex environment simulation
time-consuming process
Innovation

Methods, ideas, or system contributions that make the work stand out.

Minecraft AI Development
Integrated ToolKit
Open-Source Research Platform
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