No attribute 'wrappers'

[wonchul-kim]

In Deep Q-Learning for Atari Games(Deep Q Learning solution.py), there is some issues about version.. I guess..

When I run it, the following came up....

Populating replay memory...

---

Error Traceback (most recent call last)

in () 31 epsilon_decay_steps=500000, 32 discount_factor=0.99, ---> 33 batch_size=32): 34 35 print("\nEpisode Reward: {}".format(stats.episode_rewards[-1])) in deep_q_learning(sess, env, q_estimator, target_estimator, state_processor, num_episodes, experiment_dir, replay_memory_size, replay_memory_init_size, update_target_estimator_every, discount_factor, epsilon_start, epsilon_end, epsilon_decay_steps, batch_size, record_video_every) 107 """ 108 # Record videos --> 109 env.monitor.start(monitor_path, 110 resume=True, 111 video_callable=lambda count: count % record_video_every == 0) /home/wonchul/gym/gym/core.py in monitor(self) 90 @property 91 def monitor(self): ---> 92 raise error.Error("env.monitor has been deprecated as of 12/23/2016. Remove your call to `env.monitor.start(directory)` and instead wrap your env with `env = gym.wrappers.Monitor(env, directory)` to record data.") 93 94 def step(self, action): Error: env.monitor has been deprecated as of 12/23/2016. Remove your call to `env.monitor.start(directory)` and instead wrap your env with `env = gym.wrappers.Monitor(env, directory)` to record data. ==> So, i've changed 'env.monitor.start(directory)' to 'env = gym.wrappers.Monitor(env, directory)'. However, in this time, the following came up... Populating replay memory... --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in () 31 epsilon_decay_steps=500000, 32 discount_factor=0.99, ---> 33 batch_size=32): 34 35 print("\nEpisode Reward: {}".format(stats.episode_rewards[-1])) in deep_q_learning(sess, env, q_estimator, target_estimator, state_processor, num_episodes, experiment_dir, replay_memory_size, replay_memory_init_size, update_target_estimator_every, discount_factor, epsilon_start, epsilon_end, epsilon_decay_steps, batch_size, record_video_every) 108 # Record videos 109 #env.monitor.start --> 110 env = gym.wrappers.Monitor(env, monitor_path, 111 resume=True, 112 video_callable=lambda count: count % record_video_every == 0) AttributeError: 'module' object has no attribute 'wrappers' ==> so, I googled this error to solve it... but no one had answer,,, ( I found that some one solved this problem by upgrading gym,,, but I don't know how to upgrade... moreover I installed gym 5 days ago... kind of recent one...) Could you help me out???

[AlexZhou1995]

I met the same problem

[CurrenJ]

Encountering the same issue... hopefully somebody with more knowledge of this than me can help.

[CurrenJ]

Spoke to soon, I believe I've fixed it. Add the line:

from gym import wrappers

after

import gym

at the beginning of your atari_1step_qlearning.py file.

If you are running this in python3, change xrange to range in the py file above.

That worked for me, let me know if that solves your issue.

[AlexZhou1995]

It works for me. Thank you very much!

[aaron8tang]

Thanks, it works for me.