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--- |
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model-index: |
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- name: SephsRLModel |
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results: |
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- task: |
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name: Reinforcement Learning |
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type: reinforcement-learning |
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dataset: |
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name: sensor_input |
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type: csv |
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metrics: |
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- name: Qlearning |
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type: reward |
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value: q_value |
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license: gpl-3.0 |
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tags: |
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- reinforcement-learning |
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- python |
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metrics: |
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- accuracy |
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--- |
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# SephsRLModel |
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## Overview |
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This reinforcement learning model is designed for specific tasks. |
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## Requirements |
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- Python 3.8+ |
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- Dependencies listed in `requirements.txt` |
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## Installation |
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```bash |
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pip install -r requirements.txt |
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``` |
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## Usage |
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To use SephsRLModel, follow these steps: |
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1. Prepare your data in the required format. |
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2. Adjust the hyperparameters in `config.py`. |
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3. Run the training script: |
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```bash |
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python train_n_save.py |
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``` |
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## Model Architecture |
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Custom layers described in `model.py`. |
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## Training |
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Use `train_n_save.py` with relevant datasets. |
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## Performance |
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Metrics and results outlined in `results.md`. |
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## Limitations |
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Known issues are listed under `issues.md`. |
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## License |
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GPL-3.0: See `LICENSE` for details. |
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## Contact |
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Reach out via `contact_info.md` for support or collaboration. |
