craftground 2.7.4

Lightweight Minecraft Environment for Reinforcement Learning

CraftGround - Reinforcement Learning Environment for Minecraft

CraftGround provides a lightweight and customizable environment for reinforcement learning experiments using Minecraft.

---

• Installation
  • Quick start (conda / mamba)
  • Quick start (Ubuntu based systems)
  • Install development version
• Run your first experiment
  • Example repositories
  • Example code
• Environment Specifications
  • How to execute minecraft command in a gymnasium wrapper?
• Technical Details
• License and Acknowledgements
  • Devaju font license
  • Gamma Utils
  • Fabric-Carpet
• Development / Customization

---

Installation

Quick start (conda / mamba)

conda create -n my_experiment_env python=3.11
conda activate my_experiment_env
conda install conda-forge::openjdk=21 conda-forge::cmake conda-forge::glew-dev conda-forge::libpng conda-forge::libzlib conda-forge::libopengl conda-forge::libflite
pip install craftground

Quick start (Ubuntu based systems)

Refer to the provided Dockerfile for a complete setup.

sudo apt-get update
sudo apt-get install -y openjdk-21-jdk python3-pip git \
    libgl1-mesa-dev libegl1-mesa-dev libglew-dev \ 
    libglu1-mesa-dev xorg-dev libglfw3-dev xvfb
apt-get clean
pip3 install --upgrade pip
pip3 install cmake # You need latest cmake, not the one provided by apt-get
pip3 install craftground

Windows Setup

Resolve Windows Path Length Limitation

Note: you may need to enable long file path due to windows limitation. You can enable it by editing registry as mentioned here

In the latest versions of Windows, this limitation can be expanded to approximately 32,000 characters. Your administrator will need to activate the “Enable Win32 long paths” group policy, or set LongPathsEnabled to 1 in the registry key HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\FileSystem.

The following command does the same as the above instruction:

reg add "HKLM\SYSTEM\CurrentControlSet\Control\FileSystem" /v LongPathsEnabled /t REG_DWORD /d 1 /f

Resolve Conda Installation Issues

Using conda is recommended for Windows users. You can install conda from here. Make sure to execute

powershell -ExecutionPolicy Bypass
conda init powershell

if you are using PowerShell, in the anaconda powershell prompt.

Setup Headless Environment (Linux)

Refer to Headless Environment Setup for setting up a headless environment.

Install development version

pip install git+https://github.com/yhs0602/CraftGround.git@dev

Run your first experiment

Example repositories

• Check the example repository for benchmarking experiments.

Example code

from craftground import craftground
from stable_baselines3 import A2C

# Initialize environment
env = craftground.make(port=8023, isWorldFlat=True, ...)

# Train model
model = A2C("MlpPolicy", env, verbose=1)
model.learn(total_timesteps=10000)
model.save("a2c_craftground")

Environment Specifications

For detailed specifications, refer to the following documents:

• Initial Environment
• Observation Space
• Action Space

Technical Details

See Technical Details for detailed technical information.

License and Acknowledgements

This project is licensed under the LGPL v3.0 license. The project includes code from the following sources:

Devaju fonts

• Source: Dejavu Fonts

Gamma Utils

This project includes code licensed under the GNU Lesser General Public License v3.0:

• Source: Gamma Utils project

Fabric-Carpet

This project includes code from the Fabric Carpet project, licensed under the MIT License:

• Source: Fabric-Carpet Project

Development / Customization

For detailed development and customization instructions, see Develop.

Star History