Wizard of Wor#

../../../_images/atari_wizard_of_wor.gif

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

Import

from pettingzoo.atari import wizard_of_wor_v3

Actions

Discrete

Parallel API

Yes

Manual Control

No

Agents

agents= [‘first_0’, ‘second_0’]

Agents

2

Action Shape

(1,)

Action Values

[0,8]

Observation Shape

(210, 160, 3)

Observation Values

(0,255)

Battling both against NPCs and the other player. Careful timing, and control is essential, as well as awareness of your opponent.

You score points by hitting the opponent and NPCs with your bullets. Hitting an NPC scores between 200 to 2500 points depending on the NCP, and hitting a player scores 1000 points.

If you get hit by a bullet, you lose a life. When both players lose 3 lives, the game is over.

Note that in addition to the competitive aspect where you benefit from attacking the other player, there is a cooperative aspect to the game where clearing levels means that both players will have more opportunities to score.

Official Warlords manual

Environment parameters#

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

Action Space#

In any given turn, an agent can choose from one of 9 actions.

Action

Behavior

0

Fire

1

Move up

2

Move right

3

Move left

4

Move down

5

Move upright

6

Move upleft

7

Move downright

8

Move 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 wizard_of_wor_v3

env = wizard_of_wor_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 wizard_of_wor_v3

env = wizard_of_wor_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.wizard_of_wor.wizard_of_wor.raw_env(**kwargs)[source]#