Created
April 4, 2022 21:48
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Playing around with PettingZoo environments -
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""" | |
Playing around with MPE PettingZoo Environments: https://www.pettingzoo.ml/mpe | |
""" | |
import numpy as np | |
from pettingzoo.utils import random_demo | |
from pettingzoo.mpe import simple_adversary_v2 | |
from pettingzoo.mpe import simple_tag_v2 | |
from pettingzoo.magent import adversarial_pursuit_v3 | |
def tag(): | |
env = simple_tag_v2.env(num_good=1, num_adversaries=1, num_obstacles=1) | |
env.reset() | |
x = 0 | |
while x < 1: | |
for agent in env.agent_iter(): | |
observation, reward, done, info = env.last() | |
if done: | |
action = None | |
env.reset() | |
print("DONE>>>>") | |
break | |
else: | |
action = env.action_space(agent).sample() | |
#print("ACTION = ", action) | |
env.step(action) | |
#env.step(0) | |
print(agent, " >>> ", len(observation), observation) | |
env.render() | |
x += 1 | |
def demo_adversary(): | |
env = simple_adversary_v2.env() | |
random_demo(env, render=True, episodes=10) | |
def demo_adv_pursuit(): | |
env = adversarial_pursuit_v3.env(map_size=20) | |
random_demo(env, render=True, episodes=10) | |
def demo_tag(): | |
env = simple_tag_v2.env(num_good=4, num_adversaries=4, num_obstacles=3) | |
random_demo(env, render=True, episodes=10) | |
if __name__ == '__main__': | |
tag() | |
#demo_adversary() | |
#demo_adv_pursuit() | |
#demo_tag() | |
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