/reinforcement-learning

This repository contains a collection of Jupyter notebooks demonstrating various Reinforcement Learning (RL) techniques and algorithms. It's intended for educational purposes, providing practical examples to help understand and apply RL concepts.

Primary LanguageJupyter Notebook

Reinforcement Learning Examples

Overview

This repository contains a collection of Jupyter notebooks demonstrating various Reinforcement Learning (RL) techniques and algorithms. It's intended for educational purposes, providing practical examples to help understand and apply RL concepts.

Contents

  • KArmedBandits.ipynb: ...

Getting Started

To use these notebooks:

  1. Clone the repository: git clone https://github.com/GACanova/reinforcment-learning.git
  2. Install dependencies: pip install -r requirements.txt (ensure you have Python installed)
  3. Run Jupyter Notebook: jupyter notebook and navigate to the desired notebook.

Dependencies

  • Python 3.x
  • Jupyter

Contributing

Feel free to contribute by submitting pull requests or by reporting bugs and suggesting enhancements in the 'Issues' section.