Maze Craze

This environment is part of the Atari environments. Please read that page first for general information.

Import	from pettingzoo.atari import maze_craze_v3
Actions	Discrete
Parallel API	Yes
Manual Control	No
Agents	agents= ['first_0', 'second_0']
Agents	2
Action Shape	(1,)
Action Values	[0,17]
Observation Shape	(250, 160, 3)
Observation Values	(0,255)

A competitive game of memory and planning!

Its a race to leave the maze. There are 3 main versions of the game.

1. Race: A basic version of the game. First to leave the maze wins

2. Robbers: There are 2 robbers randomly traversing the maze. If you are captured by the robbers, you lose the game, and receive -1 reward, and will be done. The player that has not been captured will not receive any reward, but they can still exit the maze and win, scoring +1 reward.

3. Capture: Each player have to capture all 3 robbers before you are able to exit the maze. Additionally, you can confuse your opponent (and yourself, if you are not careful!) by creating a block that looks identical to a wall in the maze, but all players can pass through it. You can only create one wall at a time, when you create a new one, the old one disappears.

The first player to leave the maze scores +1, the other player scores -1 (unless that other player has already been captured in Robbers mode).

Official Maze craze manual. Note that the table of modes has some inaccuracies. In particular, game mode 12 has Blockade enabled, not mode 11.

Environment parameters

Some environment parameters are common to all Atari environments and are described in the base Atari documentation.

Parameters specific to Maze Craze are

maze_craze_v3.env(game_version="robbers", visibilty_level=0)

game_version: Possibilities are “robbers”, “race”, “capture”, corresponding to the 3 game versions described above

visibilty_level: A number from 0-3. Set to 0 for 100% visible map, and 3 for 0% visibility map.

Action Space

In any given turn, an agent can choose from one of 18 actions.

Action	Behavior
0	No operation
1	Fire
2	Move up
3	Move right
4	Move left
5	Move down
6	Move upright
7	Move upleft
8	Move downright
9	Move downleft
10	Fire up
11	Fire right
12	Fire left
13	Fire down
14	Fire upright
15	Fire upleft
16	Fire downright
17	Fire downleft

Version History

• v3: Minimal Action Space (1.18.0)

• v2: Breaking changes to entire API (1.4.0)

• v1: Fixes to how all environments handle premature death (1.3.0)

• v0: Initial versions release (1.0.0)

Usage

AEC

from pettingzoo.atari import maze_craze_v3

env = maze_craze_v3.env(render_mode="human")
env.reset(seed=42)

for agent in env.agent_iter():
    observation, reward, termination, truncation, info = env.last()

    if termination or truncation:
        action = None
    else:
        # this is where you would insert your policy
        action = env.action_space(agent).sample()

    env.step(action)
env.close()

Parallel

from pettingzoo.atari import maze_craze_v3

env = maze_craze_v3.parallel_env(render_mode="human")
observations, infos = env.reset()

while env.agents:
    # this is where you would insert your policy
    actions = {agent: env.action_space(agent).sample() for agent in env.agents}

    observations, rewards, terminations, truncations, infos = env.step(actions)
env.close()

API

class pettingzoo.atari.maze_craze.maze_craze.raw_env(game_version='robbers', visibilty_level=0, **kwargs)