Comments (6)
Hey @ChenyangRan sry for the late reply im having some problems with github recently. Can you tell me what script you were running?
from soft-actor-critic-and-extensions.
Hey @ChenyangRan sry for the late reply im having some problems with github recently. Can you tell me what script you were running?
Hi, it happened when I test the Hopper-V2 and type the flowing command.
python SAC.py -env Hopper-v2 -ep 200 -info sac
from soft-actor-critic-and-extensions.
@ChenyangRan the SAC.py file is kind of old and outdated. Could you try to use the run.py file? If it does not work please let me know :)
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@ChenyangRan the SAC.py file is kind of old and outdated. Could you try to use the run.py file? If it does not work please let me know :)
I'm sorry that I haven't read the README carefully.
I have used the run.py witthe command:
python run.py -env Hopper-v2 -seed 0 -info sac_test -w 2
Is it the original SAC agent? And it works without using warning.
Also, I noticed that the run is with the frames instad of n_epoches, which means the code records the total steps?
from soft-actor-critic-and-extensions.
@ChenyangRan Yes you are right it records the total interactions with the environment.
If you don't use any of the extensions it's plane SAC. If you set a flag like -per 1 it used prioritized experience replay. Setting -munchausen 1 it uses a munchausen reward addon etc.
Good to hear it runs without warning :)
from soft-actor-critic-and-extensions.
@ChenyangRan Yes you are right it records the total interactions with the environment.
If you don't use any of the extensions it's plane SAC. If you set a flag like -per 1 it used prioritized experience replay. Setting -munchausen 1 it uses a munchausen reward addon etc.
Good to hear it runs without warning :)
Thanks and I'll close this isusse.
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Related Issues (10)
- How do you plot figures? HOT 1
- IndexError: deque already at its maximum size
- minor errors in the code of SAC.py HOT 1
- understanding alpha learning HOT 1
- Use of sum trees
- Can not find the Munchausen SAC! HOT 1
- where is the Munchausen RL?
- Münchhausen reward not matching paper?
- why the result is not good?
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