import gym
if __name__ == "__main__":
env = gym.make("CartPole-v0")
env = gym.wrappers.Monitor(env, "recording")
total_reward = 0.0
total_steps = 0
obs = env.reset()
while True:
action = env.action_space.sample()
obs, reward, done, _ = env.step(action)
total_reward += reward
total_steps += 1
if done:
break
print("Episode done in %d steps, total reward %.2f" % (
total_steps, total_reward))
env.close()
env.env.close()
these codes are from :Maxim Lapan. Deep Reinforcement Learning Hands-On
when i run these code,i get this:'gym.wrappers' has no attribute 'Monitor'
i try to search on google to find answer,but i still have no idea about the way to solve the question.