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Example of Reinforcement Learning Environment on Minecraft with Stable-Baselines3 and CraftGround

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CraftGround-Baselines3

Introduction

CraftGround-Baselines3 provides examples using CraftGround, a lightning-fast reinforcement learning environment based on Minecraft, and Stable-Baselines3, which implements various reinforcement learning algorithms using PyTorch.

Getting Started

This section guides you through the requirements and installation process to use this project.

Prerequisites

  • Python 3.9 or higher
  • JDK 17 or higher
  • glew (for non-MacOS systems)
  • VirtualGL and Xvfb, if you want to run on headless systems.

Examples

  • Escaping from zombies on superflat environment
  • Exploration in a custom structure

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Example of Reinforcement Learning Environment on Minecraft with Stable-Baselines3 and CraftGround

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