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A simple 2D maze environment for OpenAI Gym

Project description


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.

Action space

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.

Observation space

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).

End condition

The maze is reset when the agent reaches the goal.

Maze Versions

Pre-generated mazes

  • 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

Randomly generated mazes

  • 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 install

Another way to install the package is by using

  • pip install gym-maze-trustycoder83

Project details

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