miniworld-maze 1.0.0

Multi-room maze environments from the DrStrategy paper for reinforcement learning research

MiniWorld DrStrategy - Multi-Room Maze Environment

A refactored implementation of Dr. Strategy's MiniWorld-based maze environments with updated dependencies and modern Python packaging. Based on the now-deprecated MiniWorld project and the original DrStrategy implementation.

Environment Observations

Environment Views

Full environment layout and render-on-position views:

Full Environment	Partial Top-Down Observations	Partial First-Person Observations

Installation

pip install miniworld-maze

Usage

from miniworld_drstrategy import create_nine_rooms_env

# Create environment
env = create_nine_rooms_env(variant="NineRooms", size=64)
obs, info = env.reset()

# Take actions
action = env.action_space.sample()
obs, reward, terminated, truncated, info = env.step(action)

env.close()

Environment Variants

• NineRooms: 3×3 grid layout
• SpiralNineRooms: Spiral connection pattern
• TwentyFiveRooms: 5×5 grid layout

License

MIT License - see LICENSE file for details.