Combat: Plane#

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

Import	`from pettingzoo.atari import combat_jet_v1`
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	(256, 160, 3)
Observation Values	(0,255)

Combat’s plane mode is an adversarial game where timing, positioning, and keeping track of your opponent’s complex movements are key.

The players fly around the map, able to control flight direction but not your speed.

When your opponent is hit by your bullet, you score a point.

Whenever you score a point, you are rewarded +1 and your opponent is penalized -1.

Official Combat manual

Environment parameters#

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

Parameters specific to combat-plane are

combat_plane_v2.env(game_version="jet", guided_missile=True)

game_version: Accepted arguments are “jet” or “bi-plane”. Whether the plane is a bi-plane or a jet. (Jets move faster)

guided_missile: Whether the missile can be directed after being fired, or whether it is on a fixed path.

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#

v2: Minimal Action Space (1.18.0)
v1: Breaking changes to entire API (1.4.0)
v0: Initial versions release (1.0.0)

Usage#

AEC#

from pettingzoo.atari import combat_plane_v2

env = combat_plane_v2.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 combat_plane_v2

env = combat_plane_v2.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.combat_plane.combat_plane.raw_env(game_version='bi-plane', guided_missile=True, **kwargs)[source]#