8d89fe80ff
- Archive: 85 agent .txt files → docs/archive/agents/legacy_txt/ - Scripts: Move 110 shell scripts → scripts/ (keep deploy.sh in root) - Models: Move 18 .safetensors → ml/models/checkpoints/training_artifacts/ - Delete: 34 directories (~33GB freed) - target/, coverage_*, test artifacts - Build: Clean 14 build artifacts (.rlib, .o, .pid, binaries) - Tests: Move 14 .rs files → tests/standalone/ - SQL: Move 5 files → sql/ (keep init-db*.sql for Docker) - Wave 153: Archive to docs/archive/historical/wave153/ - Docs: Archive 9 markdown files to wave_d/reports/ and historical/ Total impact: ~34GB freed (both waves), root directory cleaned from 583 to ~40 essential files Directory count reduced from 65 to 31 (52% reduction) All historical data preserved in organized archive structure
15 lines
400 B
Rust
15 lines
400 B
Rust
// Test DQN imports
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use ml::dqn::{
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DQNAgent, DQNConfig, TradingAction, TradingState, AgentMetrics,
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Experience, ExperienceBatch,
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ReplayBuffer, ReplayBufferConfig, ReplayBufferStats,
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QNetwork, QNetworkConfig,
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RewardFunction, RewardConfig,
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RainbowAgent, RainbowAgentConfig,
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WorkingDQN, WorkingDQNConfig
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};
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fn main() {
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println!("All DQN types imported successfully!");
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}
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