DeepTactics by Cogito NTNU

Deeptactics Project

Welcome to the Deeptactics Project! This repository is aimed at exploring reinforcement learning algorithms, both basic and advanced. Whether you're a beginner or have some experience, there's something here for you.

Table of Contents

• Introduction
• Getting Started
• Repository Structure
• Resources
• Installation

Introduction

This project was inspired by David Silver's Reinforcement Learning Course We recommend starting here to gain a solid foundation in reinforcement learning principles.

The end goal is to make some DQN-implementation which can play connect4 at a decent level.

Getting Started

1. Clone this repository:

   git clone https://github.com/ChristianFredrik69/ReinforcementLearning

2. Navigate to the Introduction directory and start with the introductory assignments.

Repository Structure

• Introduction/: Contains introductory lectures and assignments.
• Basic_Reinforcement_Learning/: Code examples for basic RL algorithms in Gym environments.
• Advanced_Reinforcement_Learning/: More advanced topics like DQN.
• Connect_Four/: Reinforcement learning algorithm playing the classic game!
• Resources/: Additional reading material and references.

Resources

• David Silver's Reinforcement Learning Course
• Reinforcement Learning: An Introduction by Sutton and Barto

Installation

To install the required packages, run the following command:

pip install -r requirements.txt