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I notice that you've used some reward shaping during training, but forgot to remove it in in calculating the running average and in test.py, and that leads to incorrect results.
Commenting out relevant lines, I got an average score of around 860 over 100 episodes for the model in the repo.
The text was updated successfully, but these errors were encountered:
Hi,
I notice that you've used some reward shaping during training, but forgot to remove it in in calculating the running average and in
test.py
, and that leads to incorrect results.Commenting out relevant lines, I got an average score of around 860 over 100 episodes for the model in the repo.
The text was updated successfully, but these errors were encountered: