2df1ea92e1
BREAKING CHANGES: - Removed orphaned dqn.rs monolithic trainer (4,975 lines) - Removed orphaned dqn_ensemble.rs module (816 lines) - Removed orphaned tft.rs and tft_complete_int8_integration_test.rs - TFT trainer split into modular directory structure DQN Module Refactoring: - Split trainers/dqn.rs into modular structure (config.rs, statistics.rs, trainer.rs) - Fixed hyperopt 39D search space (continuous params only) - Boolean flags (use_dueling, use_double_dqn, use_per, use_noisy_nets) are now FIXED architectural decisions - use_distributional defaults to false (Candle BUG #36 - scatter_add gradient issues) Clean Module Structure: - ml/src/trainers/dqn/ directory with proper mod.rs exports - ml/src/trainers/tft/ directory with config.rs, types.rs, model.rs, trainer.rs, tests.rs - All P0 features validated: TD-error clamping, batch diversity, LR scheduler, priority staleness Documentation: - Added comprehensive docs in docs/codebase-cleanup/ - ADR-001 for DQN refactoring decisions - Rainbow DQN component matrix and quick reference guides Build Status: Compiles with zero errors 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
40 lines
1.7 KiB
Plaintext
40 lines
1.7 KiB
Plaintext
AGENT 12 - Rainbow DQN Capacity Tests - Quick Summary
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====================================================
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STATUS: Tests Created ✅, Execution Blocked ⚠️
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TEST FILE: /home/jgrusewski/Work/foxhunt/ml/tests/rainbow_capacity_tests.rs
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TESTS WRITTEN (8 total):
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├── test_default_hidden_sizes_reduced - Verifies [256, 128] vs [512, 512]
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├── test_default_dropout_increased - Confirms 0.3 vs 0.1
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├── test_layer_norm_enabled_by_default - Checks LayerNorm enabled
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├── test_network_forward_pass_with_reduced - Functional test
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├── test_capacity_comparison_with_legacy - 3-4x reduction validation
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├── test_parameter_count_reasonable - <500K params check
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├── test_dueling_architecture_enabled - Dueling enabled
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└── test_noisy_layers_enabled - Noisy layers enabled
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ANTI-OVERFITTING FEATURES TESTED:
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• Reduced Capacity: [512, 512] → [256, 128] (3-4x fewer params)
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• Increased Dropout: 0.1 → 0.3
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• Layer Normalization: Enabled by default
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BLOCKING ISSUES (unrelated to this task):
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• ml/src/dqn/dqn.rs - Missing ensemble_uncertainty module
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• ml/src/dqn/agent.rs - Missing layer_norm fields in QNetworkConfig
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• ml/src/risk/kelly_position_sizing_service.rs - Missing sample_size field
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EXPECTED OUTCOME:
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All 8 tests should PASS once compilation errors are fixed.
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The Rainbow network ALREADY implements all anti-overfitting features.
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TO RUN TESTS (after compilation fix):
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cargo test --package ml --test rainbow_capacity_tests
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EXPECTED OUTPUT:
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test result: ok. 8 passed; 0 failed
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✓ Reduced network: ~180K params
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✓ Legacy network: ~700K params
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✓ Reduction ratio: ~3.9x
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