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.

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