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Added --yaml-file argument option for train.pyto read hyperparameters from custom yaml files (@JohannesUl)
Bug fixes
Added custom_object parameter on record_video.py (@Affonso-Gui)
Changed optimize_memory_usage to False for DQN/QR-DQN on record_video.py (@Affonso-Gui)
In ExperimentManager_maybe_normalize set training to False for eval envs,
to prevent normalization stats from being updated in eval envs (e.g. in EvalCallback) (@pchalasani).
Only one env is used to get the action space while optimizing hyperparameters and it is correctly closed (@SammyRamone)
Added progress bar via the -P argument using tqdm and rich