maze-world

Random maze environments with different size and complexity for reinforcement learning and planning research. This is in-particular to investigate generalization and planning ability in dynamically changing environment.

Disclaimer: This project is largely a amalgam of references mentioned here.

Installation

• Using PyPI:

  pip install maze-world
  

• Directly from source (recommended):

  git clone https://github.com/koulanurag/maze-world.git
  cd maze-world
  pip install -e .
  

Contents

• Environment Zoo
• Quick-Start
  • Basic Usage
  • Creating custom random maze size
  • Creating maze with pre-specified map
• API Reference
  • Environment
  • Utils

References

1. Gym-Maze

2. Mazelab

3. Custom Gym environment based out of gymnasium

4. Wilson Maze Generator

Contact

If you have any questions or suggestions , please open an issue on this GitHub repository.