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24 lines
787 B
Python
24 lines
787 B
Python
from algorithms.utils import Checkpointer
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from pathlib import Path
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from algorithms.utils import load_yaml_file, add_env_props, instantiate_class, load_class
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# from algorithms.marl import LoopSNAC, LoopIAC, LoopSEAC
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for i in range(0, 5):
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for name in ['snac', 'mappo', 'iac', 'seac']:
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study_root = Path(__file__).parent / name
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cfg = load_yaml_file(study_root / f'{name}.yaml')
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add_env_props(cfg)
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env = instantiate_class(cfg['env'])
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net = instantiate_class(cfg['agent'])
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max_steps = cfg['algorithm']['max_steps']
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n_steps = cfg['algorithm']['n_steps']
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checkpointer = Checkpointer(f'{name}#{i}', study_root, cfg, max_steps, 50)
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loop = load_class(cfg['method'])(cfg)
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df = loop.train_loop(checkpointer)
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