Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
artificial-intelligence
recursive-self-improvement
continual-learning
representation-learning
world-models
cognitive-architecture
| """Repeat the reported five seeds sequentially; no background tasks or network.""" | |
| from pathlib import Path | |
| import subprocess,sys | |
| root=Path(__file__).resolve().parent | |
| for seed in range(20261007,20261012): | |
| output=root/'results' if seed==20261007 else root/'results'/'replications'/str(seed) | |
| subprocess.run([sys.executable,str(root/'run_experiments.py'),'--seed',str(seed),'--output',str(output)],check=True) | |
| subprocess.run([sys.executable,str(root/'build_release_notes.py')],check=True) | |