對于構(gòu)建強化學(xué)習(xí)代理，我們將使用如下所示的 OpenAI Gym 包 -

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

觀察小推車可以平衡。