- Fixed PSO budget calculation bug in ml/src/hyperopt/optimizer.rs - Root cause: Division by n_particles in sequential execution - Now correctly calculates max_iters = remaining_trials (no division) - Result: 50 trials complete instead of 23 (100% vs 46%) - Added comprehensive DQN hyperopt results analysis - 39/50 trials analyzed across 2 RunPod deployments - Best hyperparameters identified: LR 4.89e-5 (ultra-low) - Created DQN_HYPEROPT_RESULTS_SUMMARY.md with expert validation - GitLab CI/CD pipeline operational (48 lines fixed) - Fixed YAML syntax errors (unquoted colons) - All 7 jobs validated and working - Warning cleanup complete (136 → 0 warnings) - Removed 143 lines dead code - Fixed visibility, unused imports, Debug traits - Archived Wave D reports to docs/archive/ - 8 early stopping reports moved - Root directory cleaned up 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Deprecated Deployment Scripts
Archive Date: 2025-11-02 Reason: Consolidated duplicate deployment scripts to reduce confusion
Why These Scripts Were Deprecated
During the hyperopt optimization phase (Oct-Nov 2025), multiple versions of deployment scripts were created:
*_corrected.sh: Fixed objective functions (validation loss → episode rewards)*_batch256.sh: Experimental batch size configurations*_rtx4090_corrected.sh: GPU-specific optimizations*_completion.sh: Intermediate test scripts
After hyperopt completion, the canonical versions were consolidated into:
deploy_{model}_hyperopt.sh: Standard hyperparameter optimizationdeploy_{model}_production.sh: Production training with optimized hyperparameters
Migration Guide
| Deprecated Script | Canonical Replacement |
|---|---|
deploy_dqn_hyperopt_corrected.sh |
deploy_dqn_hyperopt.sh |
deploy_ppo_hyperopt_corrected.sh |
deploy_ppo_hyperopt.sh |
deploy_ppo_hyperopt_completion.sh |
deploy_ppo_hyperopt.sh |
deploy_ppo_production_corrected.sh |
deploy_ppo_production.sh |
deploy_mamba2_hyperopt_batch256.sh |
deploy_mamba2_hyperopt.sh |
deploy_mamba2_hyperopt_rtx4090_corrected.sh |
deploy_mamba2_hyperopt.sh |
Key Changes in Canonical Scripts
- DQN Hyperopt: Uses episode rewards as objective (not validation loss)
- PPO Hyperopt: Optimizes dual learning rates (policy + value)
- MAMBA2 Hyperopt: Standardized batch size (no hardcoded 256)
- All Scripts: Updated with historical results and best hyperparameters
Archived Scripts
All deprecated scripts preserved here for historical reference. Do not use in production.