A simple 2d maze environment for Open AI Gym, where the agent needs to finds its way from the top left corner to the bottom right corner.

https://www.youtube.com/watch?v=zUdLT6a6ivU

The agent may only choose to go up, down, left, or right ("N", "S", "W", "E"). If the way is blocked, it will remain at the same the location.

The observation space is the (x, y) coordinate of the agent. The top left cell is (0, 0).

A reward of 1 is given when the agent reaches the goal. For every step in the maze, the agent recieves a reward of -0.1/(number of cells).

The maze is reset when the agent reaches the goal.

• 5 cells x 5 cells: MazeEnvSample5x5
• 10 cells x 10 cells: MazeEnvSample10x10
• 25 cells x 25 cells: MazeEnvSample25x25
• 50 cells x 50 cells: MazeEnvSample50x50
• 100 cells x 100 cells: MazeEnvSample100x100

• 5 cells x 5 cells: MazeEnvRandom5x5
• 10 cells x 10 cells: MazeEnvRandom10x10
• 25 cells x 25 cells: MazeEnvRandom25x25
• 50 cells x 50 cells: MazeEnvRandom50x50
• 100 cells x 100 cells: MazeEnvRandom100x100

You need Python 3.6 or 3.7 to run the script. After this, install the package.

• python setup.py install

Another way to install the package is by using test.pypi.org.

• pip install gym-maze-trustycoder83