Foozpong¶
This environment is part of the Atari environments. Please read that page first for general information.
Import |
|
|---|---|
Actions |
Discrete |
Parallel API |
Yes |
Manual Control |
No |
Agents |
|
Agents |
4 |
Action Shape |
(1,) |
Action Values |
[0,5] |
Observation Shape |
(210, 160, 3) |
Observation Values |
(0,255) |
Four player team battle.
Get the ball past your opponent’s defenders to the scoring area. Like traditional foozball, the board has alternating layers of paddles from each team between the goal areas. To succeed at this game, the two players on each side must coordinate to allow the ball to be passed between these layers
up the board and into your opponent’s scoring area. Specifically,
first_0 and third_0 are on one team and second_0 and fourth_0 are on the other.
Scoring a point gives your team +1 reward and your opponent’s team -1 reward.
Serves are timed: If the player does not serve within 2 seconds of receiving the ball, their team receives -1 points, and the timer resets. This prevents one player from indefinitely stalling the game, but also means it is no longer a purely zero sum game.
Official Video Olympics manual
Environment parameters¶
Some environment parameters are common to all Atari environments and are described in the base Atari documentation.
Parameters specific to Foozpong are
foozpong_v3.env(num_players=4)
num_players: Number of players (must be either 2 or 4)
Action Space (Minimal)¶
In any given turn, an agent can choose from one of 6 actions.
Action |
Behavior |
|---|---|
0 |
No operation |
1 |
Fire |
2 |
Move up |
3 |
Move right |
4 |
Move left |
5 |
Move down |
Version History¶
v3: Minimal Action Space (1.18.0)
v2: No action timer (1.9.0)
v1: Breaking changes to entire API (1.4.0)
v0: Initial versions release (1.0.0)
Usage¶
AEC¶
from pettingzoo.atari import foozpong_v3
env = foozpong_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 foozpong_v3
env = foozpong_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()