Welcome to the Reinforcement Learning Workshop! This repository contains all the materials and code needed for the workshop. Below is an overview of what you'll learn and how to get started.

• Become familiar with common Reinforcement Learning (RL) algorithms and methods.
• Understand the fundamentals of RL and how to apply them to various scenarios.
• Develop and shape RL algorithms for specific niche cases.
• Gain hands-on experience with RL through coding projects.
• Explore real-world applications of RL for future inspiration.

• An IDE capable of interpreting Python 3.7 or higher.
• Python 3.7 or higher installed on your machine.
• Administrative rights to install packages.
• A working machine for the entire workshop duration.
• Functional power outlets for charging devices.

1. Clone this repository:

   git clone https://github.com/tylerjustinjackson/RL-Workshop-ITL.git