Add DDPG training script - #21
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ammiellewb
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Feb 3, 2026
ammiellewb
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- Implement DDPG (Deep Deterministic Policy Gradient) algorithm
- Support both Normal and Ornstein-Uhlenbeck action noise
- Include DDPG-specific hyperparameters (tau, learning_rate, buffer_size, etc.)
- Integrate with existing metrics logging and W&B support
- Follow same pattern as SAC training script
- Implement DDPG (Deep Deterministic Policy Gradient) algorithm - Support both Normal and Ornstein-Uhlenbeck action noise - Include DDPG-specific hyperparameters (tau, learning_rate, buffer_size, etc.) - Integrate with existing metrics logging and W&B support - Follow same pattern as SAC training script
Add `venv/` to `.gitignore` to prevent committing local virtual envs, and include `rainflow` in `requirements.txt` for rainflow cycle counting support.
Jordan-Leis
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Feb 6, 2026
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Looks like a clean implementation
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