Disable environment video rendering in OpenAI gym
Is there a way to disable video rendering in OpenAI gym while still recording it? When I use the atari environments and the Monitor wrapper, the default behavior is to not render the video (the video is still recorded and saved to disk). However in simple environments such as MountainCarContinuous-v0, CartPole-v0, Pendulum-v0, rendering the video is the default behavior and I cannot find how to disable it (I still want to save it to disk).
I am running my jobs on a server and the officially suggested workaround with xvfb does not work. I saw that a lot of people had problems with it as it clashes with nvidia drivers. The most common solution I found was to reinstall nvidia drivers, which I cannot do as I do not have root access over the server.
video openai-gym
asked Dec 5 '17 at 23:02
niko
454418
add a comment |
Is there a way to disable video rendering in OpenAI gym while still recording it? When I use the atari environments and the Monitor wrapper, the default behavior is to not render the video (the video is still recorded and saved to disk). However in simple environments such as MountainCarContinuous-v0, CartPole-v0, Pendulum-v0, rendering the video is the default behavior and I cannot find how to disable it (I still want to save it to disk).
I am running my jobs on a server and the officially suggested workaround with xvfb does not work. I saw that a lot of people had problems with it as it clashes with nvidia drivers. The most common solution I found was to reinstall nvidia drivers, which I cannot do as I do not have root access over the server.
video openai-gym
asked Dec 5 '17 at 23:02
niko
454418
add a comment |
Is there a way to disable video rendering in OpenAI gym while still recording it? When I use the atari environments and the Monitor wrapper, the default behavior is to not render the video (the video is still recorded and saved to disk). However in simple environments such as MountainCarContinuous-v0, CartPole-v0, Pendulum-v0, rendering the video is the default behavior and I cannot find how to disable it (I still want to save it to disk).
I am running my jobs on a server and the officially suggested workaround with xvfb does not work. I saw that a lot of people had problems with it as it clashes with nvidia drivers. The most common solution I found was to reinstall nvidia drivers, which I cannot do as I do not have root access over the server.
video openai-gym
asked Dec 5 '17 at 23:02
niko
454418
Is there a way to disable video rendering in OpenAI gym while still recording it? When I use the atari environments and the Monitor wrapper, the default behavior is to not render the video (the video is still recorded and saved to disk). However in simple environments such as MountainCarContinuous-v0, CartPole-v0, Pendulum-v0, rendering the video is the default behavior and I cannot find how to disable it (I still want to save it to disk).
I am running my jobs on a server and the officially suggested workaround with xvfb does not work. I saw that a lot of people had problems with it as it clashes with nvidia drivers. The most common solution I found was to reinstall nvidia drivers, which I cannot do as I do not have root access over the server.
video openai-gym
video openai-gym
asked Dec 5 '17 at 23:02
niko
454418
asked Dec 5 '17 at 23:02
niko
454418
asked Dec 5 '17 at 23:02
niko
454418
asked Dec 5 '17 at 23:02
niko
454418
asked Dec 5 '17 at 23:02
niko
454418
454418
add a comment |
add a comment |
1 Answer
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Yes you have video_callable=False kwarg in gym.wrappers.Monitor()
import gym
from gym import wrappers
env = gym.make(env_name) # env_name = "Pendulum-v0"
env = wrappers.Monitor(env, aigym_path, video_callable=False ,force=True)
then you wish to use
s = env.reset() # do this for initial time-step of each episode
s_next, reward, done = env.step(a) # do this for every time-step with action 'a'
to run your episodes
answered Jun 14 at 21:58
sdr2002
1751211
NameError: name 'aigym_path' is not defined
– gvgramazio
Jul 20 at 12:35
1
aigym_path is a directory you wish to save the videos rendered UNLESS you set the 'video_callable' being False. Give it a string of directory sth like '/home/<your home dir name>/bla/bla/savedFilms'
– sdr2002
Aug 12 at 12:00
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Yes you have video_callable=False kwarg in gym.wrappers.Monitor()
import gym
from gym import wrappers
env = gym.make(env_name) # env_name = "Pendulum-v0"
env = wrappers.Monitor(env, aigym_path, video_callable=False ,force=True)
then you wish to use
s = env.reset() # do this for initial time-step of each episode
s_next, reward, done = env.step(a) # do this for every time-step with action 'a'
to run your episodes
answered Jun 14 at 21:58
sdr2002
1751211
NameError: name 'aigym_path' is not defined
– gvgramazio
Jul 20 at 12:35
1
aigym_path is a directory you wish to save the videos rendered UNLESS you set the 'video_callable' being False. Give it a string of directory sth like '/home/<your home dir name>/bla/bla/savedFilms'
– sdr2002
Aug 12 at 12:00
add a comment |
Yes you have video_callable=False kwarg in gym.wrappers.Monitor()
import gym
from gym import wrappers
env = gym.make(env_name) # env_name = "Pendulum-v0"
env = wrappers.Monitor(env, aigym_path, video_callable=False ,force=True)
then you wish to use
s = env.reset() # do this for initial time-step of each episode
s_next, reward, done = env.step(a) # do this for every time-step with action 'a'
to run your episodes
answered Jun 14 at 21:58
sdr2002
1751211
NameError: name 'aigym_path' is not defined
– gvgramazio
Jul 20 at 12:35
1
aigym_path is a directory you wish to save the videos rendered UNLESS you set the 'video_callable' being False. Give it a string of directory sth like '/home/<your home dir name>/bla/bla/savedFilms'
– sdr2002
Aug 12 at 12:00
add a comment |
Yes you have video_callable=False kwarg in gym.wrappers.Monitor()
import gym
from gym import wrappers
env = gym.make(env_name) # env_name = "Pendulum-v0"
env = wrappers.Monitor(env, aigym_path, video_callable=False ,force=True)
then you wish to use
s = env.reset() # do this for initial time-step of each episode
s_next, reward, done = env.step(a) # do this for every time-step with action 'a'
to run your episodes
answered Jun 14 at 21:58
sdr2002
1751211
Yes you have video_callable=False kwarg in gym.wrappers.Monitor()
import gym
from gym import wrappers
env = gym.make(env_name) # env_name = "Pendulum-v0"
env = wrappers.Monitor(env, aigym_path, video_callable=False ,force=True)
then you wish to use
s = env.reset() # do this for initial time-step of each episode
s_next, reward, done = env.step(a) # do this for every time-step with action 'a'
to run your episodes
answered Jun 14 at 21:58
sdr2002
1751211
answered Jun 14 at 21:58
sdr2002
1751211
answered Jun 14 at 21:58
sdr2002
1751211
answered Jun 14 at 21:58
sdr2002
1751211
1751211
NameError: name 'aigym_path' is not defined
– gvgramazio
Jul 20 at 12:35
1
aigym_path is a directory you wish to save the videos rendered UNLESS you set the 'video_callable' being False. Give it a string of directory sth like '/home/<your home dir name>/bla/bla/savedFilms'
– sdr2002
Aug 12 at 12:00
add a comment |
NameError: name 'aigym_path' is not defined
– gvgramazio
Jul 20 at 12:35
1
aigym_path is a directory you wish to save the videos rendered UNLESS you set the 'video_callable' being False. Give it a string of directory sth like '/home/<your home dir name>/bla/bla/savedFilms'
– sdr2002
Aug 12 at 12:00
NameError: name 'aigym_path' is not defined– gvgramazio
Jul 20 at 12:35
NameError: name 'aigym_path' is not defined– gvgramazio
Jul 20 at 12:35
1
1
aigym_path is a directory you wish to save the videos rendered UNLESS you set the 'video_callable' being False. Give it a string of directory sth like '/home/<your home dir name>/bla/bla/savedFilms'
– sdr2002
Aug 12 at 12:00
aigym_path is a directory you wish to save the videos rendered UNLESS you set the 'video_callable' being False. Give it a string of directory sth like '/home/<your home dir name>/bla/bla/savedFilms'
– sdr2002
Aug 12 at 12:00
add a comment |
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