e393a8af89
## Summary Third major cleanup wave after investigating 287 remaining root files. Archived historical reports, organized documentation, removed regeneratable artifacts, and fixed critical security issue. ## Files Cleaned (119 total) - Archived: 78 files (7 WAVE reports + 71 summaries) → docs/archive/ - Archived: 7 build logs → docs/archive/build_logs/ - Organized: 10 markdown files → docs/guides/ + docs/checklists/ - Deleted: 17 test/coverage artifacts (regeneratable) - Deleted: 7 empty/obsolete files (docker override, clippy baselines) - Deleted: 3 large files (119MB - .venv, ppo_hyperopt_output.txt, backup) ## Space Recovered - Total: ~120.7 MB - Large files: 119.25 MB (.venv, ppo_hyperopt_output.txt) - Archives: 1.04 MB (summaries + build logs) - Test artifacts: 980 KB ## Security Fix (CRITICAL) - Fixed: certs/security.env removed from git tracking (contained JWT secrets) - Updated: .gitignore to prevent future tracking of sensitive cert files - Removed: 4 files from git history (security.env, production.env.template, *.serial) ## Documentation Organization - Created: docs/archive/ (wave_reports/, summaries/, build_logs/) - Created: docs/guides/ (7 detailed implementation guides) - Created: docs/checklists/ (3 operational checklists) - Retained: 30 essential .md files in root (quick refs, CLAUDE.md) ## Investigation Reports Created - MARKDOWN_ORGANIZATION_REPORT.md - TXT_FILES_INVENTORY_AND_ARCHIVAL_PLAN.md - ROOT_CONFIG_FILES_ANALYSIS_REPORT.md - DOCKER_ROOT_FILES_ANALYSIS.md - DATABASE_INITIALIZATION_AND_SETUP_ANALYSIS.md - (6 additional investigation/index files) ## Cleanup Wave Progress - Wave 1: 899 files deleted (1,071,884 lines) - Wave 2: 543 files archived/deleted (~34GB) - Wave 3: 119 files archived/deleted/organized (~121MB) - Total: 1,561 files cleaned, ~35.1GB space recovered ## Result Root directory: 287 files → ~180 files (excluding investigation reports) Clean, organized, production-ready structure maintained. Related: Second cleanup wave (previous commit)
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183 lines
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╔════════════════════════════════════════════════════════════════════════════╗
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║ WAVE 4 - CUDA TESTING COMPLETE ║
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║ RTX 3050 Ti (4GB VRAM) - Sequential Testing ║
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╚════════════════════════════════════════════════════════════════════════════╝
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┌────────────────────────────────────────────────────────────────────────────┐
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│ MODEL COMPARISON MATRIX │
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├────────────┬──────────┬──────────────┬──────────┬──────────────────────────┤
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│ Model │ Pass Rate│ Device Errors│ VRAM │ Status │
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├────────────┼──────────┼──────────────┼──────────┼──────────────────────────┤
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│ DQN │ 30/40 │ 10 ⚠️ │ Unknown │ ⚠️ DEVICE ISSUES │
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│ │ (75%) │ │ │ │
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├────────────┼──────────┼──────────────┼──────────┼──────────────────────────┤
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│ PPO │ 60/60 │ 0 ✅ │ 3 MB │ ✅ PRODUCTION READY │
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│ │ (100%) │ │ │ │
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├────────────┼──────────┼──────────────┼──────────┼──────────────────────────┤
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│ TFT │ 34/43 │ 0 ✅ │ 3 MB │ ⚠️ TRAINING BLOCKED │
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│ │ (79%) │ │ │ │
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└────────────┴──────────┴──────────────┴──────────┴──────────────────────────┘
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┌────────────────────────────────────────────────────────────────────────────┐
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│ GPU MEMORY ANALYSIS │
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├────────────────────────────────────────────────────────────────────────────┤
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│ │
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│ Total VRAM: 4096 MB │
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│ Baseline Usage: 3 MB (PPO/TFT) │
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│ Available: 4093 MB │
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│ Utilization: 0.07% │
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│ │
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│ ┌────────────────────────────────────────────────────────────────────┐ │
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│ │ GPU Memory (4GB) │ │
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│ ├────┬───────────────────────────────────────────────────────────────┤ │
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│ │ 3MB│ 4093 MB FREE │ │
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│ └────┴───────────────────────────────────────────────────────────────┘ │
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│ │
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│ Expected Production Usage: │
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│ • DQN: 50-150 MB ✅ FITS │
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│ • PPO: 50-200 MB ✅ FITS │
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│ • TFT: 1.5-2.5 GB ✅ FITS (with 1.5GB+ headroom) │
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│ │
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└────────────────────────────────────────────────────────────────────────────┘
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┌────────────────────────────────────────────────────────────────────────────┐
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│ TFT DETAILED BREAKDOWN (Agent 257) │
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├────────────────────────────────────────────────────────────────────────────┤
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│ │
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│ Test Suite │ Passed │ Failed │ Status │
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│ ────────────────────────────────────┼────────┼────────┼─────────────── │
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│ tft_tests.rs (unit) │ 18 │ 5 │ ⚠️ PARTIAL │
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│ tft_test.rs (integration) │ 12 │ 4 │ ⚠️ PARTIAL │
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│ test_tft_cuda_layernorm.rs (CUDA) │ 4 │ 0 │ ✅ PASS │
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│ tft_checkpoint_validation_test.rs │ - │ - │ ❌ COMPILE ERROR │
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│ ────────────────────────────────────┼────────┼────────┼─────────────── │
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│ TOTAL │ 34 │ 9 │ 79% │
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│ │
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│ CUDA Performance: │
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│ • Forward Pass Latency: 20.45ms ✅ │
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│ • Batch Processing: 1-8 sizes ✅ │
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│ • Layer Normalization: CUDA accelerated ✅ │
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│ • Device IDs accessed: 1, 5, 6 (multi-device ✅) │
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│ • OOM Errors: 0 ✅ │
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│ • Device Mismatch: 0 ✅ │
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│ │
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│ Critical Issues: │
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│ 1. 🔴 Gradient Flow (3 tests) - TRAINING BLOCKER │
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│ 2. 🟡 Causal Masking (1 test) - CORRECTNESS ISSUE │
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│ 3. 🟡 Context Integration (1 test) - MODEL CAPABILITY │
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│ 4. 🟡 Checkpointing (compile) - INFRASTRUCTURE GAP │
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│ 5. 🟢 Data Pipeline (4 tests) - NOT MODEL-SPECIFIC │
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│ │
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└────────────────────────────────────────────────────────────────────────────┘
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┌────────────────────────────────────────────────────────────────────────────┐
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│ PRODUCTION READINESS SCORECARD │
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├────────────┬────────────┬──────────────┬──────────────────────────────────┤
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│ Model │ CUDA Ready │ Training │ Production Deployment │
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├────────────┼────────────┼──────────────┼──────────────────────────────────┤
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│ DQN │ ⚠️ ISSUES │ ⚠️ UNSTABLE │ ❌ NOT READY (device errors) │
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├────────────┼────────────┼──────────────┼──────────────────────────────────┤
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│ PPO │ ✅ YES │ ✅ YES │ ✅ READY NOW │
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├────────────┼────────────┼──────────────┼──────────────────────────────────┤
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│ TFT │ ✅ YES │ ❌ BLOCKED │ ❌ NOT READY (gradient flow) │
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└────────────┴────────────┴──────────────┴──────────────────────────────────┘
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┌────────────────────────────────────────────────────────────────────────────┐
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│ CRITICAL PATH TO PRODUCTION │
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├────────────────────────────────────────────────────────────────────────────┤
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│ │
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│ Priority 1: DQN Device Errors 🔴 CRITICAL (4-8 hours) │
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│ └─ Fix: 10 device mismatch errors │
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│ │
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│ Priority 2: TFT Gradient Flow 🔴 CRITICAL (4-8 hours) │
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│ └─ Fix: Remove detach() calls, verify initialization │
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│ │
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│ Priority 3: TFT Causal Masking 🟡 HIGH (2-4 hours) │
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│ └─ Fix: Correct attention mask dimensions │
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│ │
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│ Priority 4: TFT Context Integration 🟡 MEDIUM (2-4 hours) │
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│ └─ Fix: Debug context pathway in GRN │
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│ │
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│ Priority 5: TFT Checkpointing 🟡 MEDIUM (1-2 hours) │
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│ └─ Fix: Implement Checkpointable trait │
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│ │
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│ Priority 6: Data Pipeline Timestamps 🟢 LOW (1-2 hours) │
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│ └─ Fix: Parquet timestamp casting │
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│ │
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│ TOTAL ESTIMATED TIME: 14-28 hours │
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│ │
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└────────────────────────────────────────────────────────────────────────────┘
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┌────────────────────────────────────────────────────────────────────────────┐
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│ KEY FINDINGS │
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├────────────────────────────────────────────────────────────────────────────┤
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│ │
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│ ✅ SUCCESSES: │
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│ • PPO: Production-ready (100% pass, 0 device errors) │
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│ • TFT: CUDA validated (0 device errors, 20.45ms latency) │
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│ • GPU headroom: 4093 MB available (4GB sufficient) │
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│ • Sequential testing: Prevented OOM errors │
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│ │
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│ ⚠️ WARNINGS: │
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│ • DQN: 10 device errors require investigation │
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│ • TFT: Training blocked by gradient flow bugs │
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│ • Data pipeline: Timestamp issues affect all models │
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│ │
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│ ❌ BLOCKERS: │
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│ • DQN production: Device error instability │
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│ • TFT training: Gradient flow completely broken │
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│ • Real data: Parquet timestamp casting failures │
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│ │
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└────────────────────────────────────────────────────────────────────────────┘
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┌────────────────────────────────────────────────────────────────────────────┐
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│ RECOMMENDATIONS │
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├────────────────────────────────────────────────────────────────────────────┤
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│ │
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│ IMMEDIATE (Today): │
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│ 1. ✅ Deploy PPO to production (ready now) │
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│ 2. 🔴 Block DQN deployment until device errors fixed │
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│ 3. 🔴 Block TFT training until gradient flow fixed │
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│ 4. 📊 Start DQN device error investigation │
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│ │
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│ SHORT-TERM (This Week): │
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│ 1. Fix all DQN device errors │
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│ 2. Fix TFT gradient flow, masking, context │
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│ 3. Implement TFT checkpointing │
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│ 4. Validate fixes with full test suite │
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│ │
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│ MEDIUM-TERM (Next Week): │
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│ 1. Production VRAM benchmarking (full model sizes) │
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│ 2. Training pipeline integration │
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│ 3. Real data validation (fix timestamp issues) │
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│ │
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│ LONG-TERM (Next Month): │
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│ 1. Full production deployment (all 3 models) │
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│ 2. Performance optimization │
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│ 3. Ensemble coordinator integration │
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│ │
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└────────────────────────────────────────────────────────────────────────────┘
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┌────────────────────────────────────────────────────────────────────────────┐
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│ WAVE 4 STATUS: COMPLETE ✅ │
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├────────────────────────────────────────────────────────────────────────────┤
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│ │
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│ Models Tested: 3/3 (DQN, PPO, TFT) │
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│ Production Ready: 1/3 (PPO ✅) │
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│ Fixes Required: 2/3 (DQN ⚠️, TFT ⚠️) │
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│ │
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│ Overall Assessment: 1/3 models production-ready. Estimated 14-28 hours │
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│ to resolve all issues across DQN and TFT. │
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│ │
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│ Next Step: Deploy PPO, fix DQN/TFT in parallel. │
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│ │
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└────────────────────────────────────────────────────────────────────────────┘
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═══════════════════════════════════════════════════════════════════════════════
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REPORTS GENERATED:
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• AGENT_257_TFT_CUDA_TEST_REPORT.md (Detailed TFT analysis)
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• AGENT_257_QUICK_REFERENCE.md (TFT quick summary)
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• WAVE_4_COMPLETE_SUMMARY.md (All models comprehensive)
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• WAVE_4_VISUAL_SUMMARY.txt (This file)
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═══════════════════════════════════════════════════════════════════════════════
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