BUG FIXES: moving around when policy is loaded, adding BaseAlgorithm abstract classes, correcting metrics, normalizng actions if idm environment is a normalized action one, manually updating environment graph when using idm, implementing idm forward class
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16
evaluate_models.sh
Executable file
16
evaluate_models.sh
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# eval_main inputs
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# locations: List[Tuple[int,int]]= [(0,0)],
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# method: str='expert',
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# policy_file: str='',
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# policy_kwargs: dict={},
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# env: str='NRasterizedRouteIncrementingAgent',
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# env_kwargs: dict={},
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# seed: int=0
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# expert
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python -m src.eval_main
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# idm
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python -m src.eval_main --method=idm
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