jgrusewski 44b38e8014 docs: RL agent gaps design — 7 features for training quality and production readiness ...

Position-aware state encoding, regime detection (feature-based + HMM),
slippage modeling, curriculum learning, multi-timeframe fusion (default on),
online learning with EWC, and A/B testing with Thompson Sampling.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-03 02:23:38 +01:00

..

infra

feat(infra): GPU training launcher with local/cloud routing

2026-02-23 11:19:58 +01:00

plans

docs: RL agent gaps design — 7 features for training quality and production readiness

2026-03-03 02:23:38 +01:00