Gym Foo

This is based on CartPole-v0 in OpenAI Gym. I am lazy to give it a better name.

Installation:

$ pip install gym
$ cd /gym-foo/..
$ pip install -e gym-foo

How to get the enviroment:

import gym
env = gym.make('gym_foo:foo-v0')

How to use FooPool to get diverse enviroments:

from gym_foo import FooPool

pool = FooPool(10) # size 10
for env in pool:
    # Do something in a new enviroment ...

Default sampling interval of arguments of CartPole simulator:

bluebread/Gym-Foo