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Currently, if training is restarted due to seg fault, the best mean reward is reset to 0. The best model is then overwritten, even if the model mean reward is lower.
Look for a way to read the best mean reward of the model and then use that for best mean reward calculation.
The text was updated successfully, but these errors were encountered:
Currently, if training is restarted due to seg fault, the best mean reward is reset to 0. The best model is then overwritten, even if the model mean reward is lower.
Look for a way to read the best mean reward of the model and then use that for best mean reward calculation.
The text was updated successfully, but these errors were encountered: