mazegym 1.0.1

A Gymnasium environment for maze-based reinforcement learning

MazeGym

9x9 maze

Random moves are used for this demo.

21x21 maze

Random moves are used for this demo.

35x15 maze

Random moves are used for this demo.

Environment Details

• Action Space: Discrete(4) - Four possible actions: 0 (up), 1 (right), 2 (down), 3 (left). Invalid moves (moving into walls) results in an error.
• Observation Space: Box(0, 3, (height, width), int8). Contains values: 0 for empty paths, 1 for walls, 2 for the agent, 3 for the goal.
• Reward: 100 if the goal is reached, -1 for each step taken.
• Done: True if the agent reaches the goal, False otherwise.
• Truncated: True if maximum steps (3 × width × height) are exceeded, False otherwise.