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---
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. |