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First of all, congratulations on the amazing job developing and maintaining this work.
I'm trying to achieve reproducible training using multiprocessing for a custom environment. While attempting to do so, I noticed that for SB3, it is an open question on how to accomplish this. According to the Gymnasium documentation for custom environments, when discussing reproducibility, they state:
To get reproducible sampling of actions, a seed can be set with env.action_space.seed(123).
So far, I haven't managed to find where this is set in SB3, and I'm trying my best to find a solution.
Motivation
Get reproducibility in training
Pitch
One simple flow to set seeds through the different levels of the training
Alternatives
No response
Additional context
Maybe provide in the docs all the sources of randomness so we can try to find where to seed properly
Checklist
I have checked that there is no similar issue in the repo
If I'm requesting a new feature, I have proposed alternatives
The text was updated successfully, but these errors were encountered:
🚀 Feature
Hello,
First of all, congratulations on the amazing job developing and maintaining this work.
I'm trying to achieve reproducible training using multiprocessing for a custom environment. While attempting to do so, I noticed that for SB3, it is an open question on how to accomplish this. According to the Gymnasium documentation for custom environments, when discussing reproducibility, they state:
So far, I haven't managed to find where this is set in SB3, and I'm trying my best to find a solution.
Motivation
Get reproducibility in training
Pitch
One simple flow to set seeds through the different levels of the training
Alternatives
No response
Additional context
Maybe provide in the docs all the sources of randomness so we can try to find where to seed properly
Checklist
The text was updated successfully, but these errors were encountered: