CMA-ES trainer (cma_trainer.py): self-play pool, bootstrap CI, ScenarioFactory with behavior-driven scenarios, auto-compile, label query interfaces. Policy registry (registry.py): CANDIDATE → ACTIVE lifecycle. Training pipeline (pipeline.py): bounded continuous learning loop + logger. Strategy selector (selector.py): regime → strategy mapping, performance matrix.
2 lines
73 B
Python
2 lines
73 B
Python
from malkhut.training.cma_trainer import CMAESTrainer, CMAParameterCodec
|