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KoalaTrapLord f51ff61568 feat(83): Phase 3 — Performance & Scale (#83 ) (#101 )

* feat(83): Phase 3.1 — persistent JVM worker pool in MultiThreadBatchRunner (#83)

* feat(83): Phase 3.2 — async Forge episode generator with producer-consumer pipeline (#83)

* feat(83): Phase 3.3 — deprecate self_play.py synthetic mode for training (#83)

Mark self_play.py synthetic training as deprecated per Phase 3.3:
- Add deprecation notice to module docstring
- Add import warnings and _TRAINING_DEPRECATION_MSG constant
- Add DeprecationWarning in collect_rollouts()
- Synthetic sim retained for local testing/unit tests only
- scope.py already defaults forge_weight=1.0, ppo_weight=0.0

* feat(83): Phase 3.3 — update ml/training/__init__.py exports (#83)

2026-03-24 10:43:51 -04:00

__init__.py

feat(83): Phase 3 — Performance & Scale (#83 ) (#101 )

2026-03-24 10:43:51 -04:00

decision_exporter.py

feat(ml): add PPO DecisionExporter for closed-loop distillation (#65 )

2026-03-21 18:06:45 -04:00

distillation_loop.py

feat: Phase 5 architecture follow-up — zone boundary, WAL store, Forge-only defaults (#87 )

2026-03-22 14:41:33 -04:00

forge_episode_generator.py

feat(83): Phase 3 — Performance & Scale (#83 ) (#101 )