metadata

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

pip install -r requirements.txt

Usage

To use SephsRLModel, follow these steps:

Prepare your data in the required format.
Adjust the hyperparameters in config.py.
Run the training script:

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.