Files
foxhunt/docs
jgrusewski bee81b4967 design(policy-quality): self-review revisions
Critical fixes after honest review:
  1. reward-audit measurement: split into 3 classes (additive / transform
     / sample-selector) — one-size-fits-all metric couldn't work for
     PopArt normalization or CF flip mirroring
  2. H1 detection: replace undefined "Sharpe/state" with concrete
     forced-exploration protocol (epsilon=1.0 for 1 epoch at mid-train,
     sample states × magnitudes, compare Sharpe-per-trade)
  3. H4 scope: clarify this is the per-action-branch gradient (direction
     vs magnitude head), NOT the per-loss-component (IQN/CQL/C51/Ens)
     budget. Fix sketch updated to target the correct knob.
  4. Validation gate: criterion B (multi-fold Sharpe + WinRate) is now
     MANDATORY; criterion A gates are soft. Prevents "partial success"
     hiding a policy-quality failure.
  5. Trade-count gate: per-fold ≥100 on ≥5/6, not an average — 5 lean
     folds pooled with 1 fat one should not pass.

Minor:
  - Budget trimmed to 3.5–4 hrs L40S (was 6–10)
  - L40S pool made explicit as target
  - Phase 1 branches now pushed as wip/* for crash safety
  - Hyperopt-params mismatch handling documented
2026-04-21 20:29:13 +02:00
..