---
model-index:
- name: SephsRLModel
  results:
  - task:
      name: Reinforcement Learning
      type: reinforcement-learning
    dataset:
      name: sensor_input
      type: csv
    metrics:
    - name: Qlearning
      type: reward
      value: q_value
license: gpl-3.0
tags:
- reinforcement-learning
- python
metrics:
- accuracy
---

# 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.