
# SephsRLModel

## Overview
This reinforcement learning model is designed for specific tasks.

## Requirements
- Python 3.8+
- Dependencies listed in `requirements.txt`

## Installation
```bash
pip install -r requirements.txt
```

## Usage
To use SephsRLModel, follow these steps:

1. Prepare your data in the required format.
2. Adjust the hyperparameters in `config.py`.
3. Run the training script:
```bash
python train_n_save.py
```

## Model Architecture
Custom layers described in `model.py`.

## Training
Use `train_n_save.py` with relevant datasets.

## Performance
Metrics and results outlined in `results.md`.

## Limitations
Known issues are listed under `issues.md`.

## License
GPL-3.0: See `LICENSE` for details.

## Contact
Reach out via `contact_info.md` for support or collaboration.
{"license": "gpl-3.0", "tags": ["reinforcement-learning", "python"], "metrics": ["accuracy"], "model-index": [{"name": "SephsRLModel", "results": [{"task": {"type": "reinforcement-learning", "name": "Reinforcement Learning"}, "dataset": {"name": "sensor_input", "type": "csv"}, "metrics": [{"type": "reward", "value": "q_value", "name": "Qlearning"}]}]}]}
reinforcement-learning python license:gpl-3.0 model-index region:us