为了构建强化学习智能体，我们将使用OpenAI Gym包，如下所示：

import gym
env = gym.make('CartPole-v0')
for _ in range(20):
    observation = env.reset()
    for i in range(100):
        env.render()
        print(observation)
        action = env.action_space.sample()
        observation, reward, done, info = env.step(action)
        if done:
            print("Episode finished after {} timesteps".format(i+1))
            break

可以观察到，Cartpole 能够自我平衡。