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Description
In train_agent.md, the class BlackjackAgent needs env for initialization, but the demo code is initialized without env which results in errors. I added the parameters and use 'agent.env' instead of 'env' in the training.
No code for post-processing the training log (such as reward, episode length and training error) visualization. It should be average value rather value of each episode (gym.wrappers.RecordEpisodeStatistics only records this) which is not the same as figure provided in the doc. So I add the average value calculation (for later visualization) and the visualization code using matplotlib to help people get the result the expected.
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Checklist:
pre-commit
checks withpre-commit run --all-files
(seeCONTRIBUTING.md
instructions to set it up)