Artificial intelligence 如何使用其他环境

Artificial intelligence 如何使用其他环境,artificial-intelligence,reinforcement-learning,openai-gym,Artificial Intelligence,Reinforcement Learning,Openai Gym,OpenAI的universe是一个很棒的库,因为 # coding: utf-8 import gym import universe # register the universe environments env = gym.make('flashgames.DuskDrive-v0') env.configure(remotes=1) # automatically creates a local docker container observation_n = env.reset()

OpenAI的
universe
是一个很棒的库,因为

# coding: utf-8
import gym
import universe # register the universe environments

env = gym.make('flashgames.DuskDrive-v0')
env.configure(remotes=1) # automatically creates a local docker container
observation_n = env.reset()
while True:
    action_n = [[('KeyEvent', 'ArrowUp', True)] for ob in observation_n] # your agent here
    observation_n, reward_n, done_n, info = env.step(action_n)
    env.render()
提供了“DuskDrive-v0”环境,我如何使用其他环境?

只需转到此页面:

选择游戏,复制游戏标题: flashgames.HarvestDay-v0

并在代码中替换它: env=gym.make('flashgames.dashdrive-v0')