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DeepTactics by Cogito NTNU

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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

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

Installation

To install the required packages, run the following command:

pip install -r requirements.txt