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Currently, the model training is only executed on a single CPU core. However, in general, stable_baselines3 and gymnasium support parallelization of the learning process. Apparently, masking makes it a bit more complex (see, eg.g., Stable-Baselines-Team/stable-baselines3-contrib#49). Nevertheless, this would could lower the training time significantly and should be explored more.
Describe the solution you'd like
Implement a parallel training procedure.
The text was updated successfully, but these errors were encountered:
What's the problem this feature will solve?
Currently, the model training is only executed on a single CPU core. However, in general,
stable_baselines3
andgymnasium
support parallelization of the learning process. Apparently, masking makes it a bit more complex (see, eg.g., Stable-Baselines-Team/stable-baselines3-contrib#49). Nevertheless, this would could lower the training time significantly and should be explored more.Describe the solution you'd like
Implement a parallel training procedure.
The text was updated successfully, but these errors were encountered: