Files
foxhunt/ml/tests
jgrusewski 6631ace502 Wave 10: Complete debugging campaign - 3 critical bugs identified
6 parallel agents completed comprehensive investigation of 100% HOLD bias.

ROOT CAUSES IDENTIFIED:
- Bug #1 (CRITICAL): Xavier init bypasses VarMap → optimizer has 0 params → no learning
  Status:  ALREADY FIXED by Agent A15
- Bug #2 (CATASTROPHIC): scale_gradients() corrupts weights 217x/run → training destroyed
  Status: ⚠️ NEEDS FIX (lib.rs lines 269-281)
- Bug #3 (CRITICAL): Production loop uses wrong rewards (-0.0001 vs ±1.0) → 100% HOLD
  Status: ⚠️ NEEDS FIX (trainers/dqn.rs lines 869-890)

ADDITIONAL ISSUES:
- A14: Movement threshold too high (2% > 1.88% data) → penalty never activates
- A17: 4 numerical stability bugs (unbounded rewards, Q-explosions, no clamping)
- A16:  Action selection verified working (7/7 tests pass)

EVIDENCE CORRELATION:
- 217 gradient collapses = 217 weight corruption events (Bug #2)
- 100% HOLD bias = wrong reward system makes HOLD safest (Bug #3)
- Reversed penalty effect = larger gradients → more corruption (Bug #2)
- Q-value explosions (+24,055) = corrupted 0.001-scale weights (Bug #2)

DOCUMENTATION CREATED:
- WAVE10_DEBUG_SYNTHESIS.md (8,500 words) - Complete analysis + fix roadmap
- WAVE10_FIX_QUICK_REF.txt (2,000 words) - Copy-paste ready fixes
- 6 individual agent reports with test validation

IMPLEMENTATION TIMELINE:
- Phase 1 (Critical): 60 min - 3 fixes to restore learning
- Phase 2 (High Priority): 40 min - Numerical stability
- Validation: 30 min - Tests + smoke test + production run
- Total: 2.5-3 hours to production-ready DQN

EXPECTED OUTCOMES:
- Action distribution: 100% HOLD → ~30/30/40 (BUY/SELL/HOLD)
- Gradient collapses: 217/run → 0/run
- Q-value max: +24,055 → <1000
- Learning: NONE → OPERATIONAL
- Optimizer params: 0 → 99,200

Next: Implement all fixes in parallel waves
2025-11-06 01:06:11 +01:00
..