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add more efficient (lazy) experience queue implementation based on tensor, adjusted marl algorithms

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This commit is contained in:
Robert Müller
2022-02-03 13:14:48 +01:00
parent b09c461754
commit a9a4274370
8 changed files with 243 additions and 165 deletions
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2
studies/normalization_study.py
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@ -6,7 +6,7 @@ from algorithms.utils import load_yaml_file, add_env_props, instantiate_class, l
for i in range(0, 5):
for name in ['mappo']:#['seac', 'iac', 'snac']:
for name in ['snac', 'mappo', 'iac', 'seac']:
study_root = Path(__file__).parent / name
cfg = load_yaml_file(study_root / f'{name}.yaml')
add_env_props(cfg)