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Documentation for GitHub Project: Mini-Game Suite for Reinforcement Learning Introduction

Table of Contents

  1. Introduction
  2. Features
  3. Project Structure
  4. Installation Instructions

Introduction

This project is a mini-game suite designed to introduce users to reinforcement learning (RL). It is built entirely with HTML, CSS, and JavaScript, allowing it to run easily in any web browser.

Features

  • Simple User Interface: Multiple little games made to make a smooth and intuitive introduction to RL.
  • Simple User Interface: Designed to be accessible for beginners.
  • Reinforcement Learning: A basic Q-Learning network is used to make decisions based on the current game state.

Project Structure

project-root/
│
├── img/
│  
├── SelfLearningGame/
│   ├── SelfScrip.js
│   └── SelfBioLearning.html
│
├── DesignSelfLearningGame/
│   ├── DesignScrip.js
│   └── DesignBioLearning.html
│
├── PlayerLearningGame/
│   ├── PlayerScrip.js
│   └── PlayerBioLearning.html
│
├── style/
│   └── style.css
│
├── index.html
├── style.css
└── README.md

Installation Instructions

  1. Clone the repository: Go to that link "https://charly-sketch.github.io/DiscoverAI/"
  2. Clone the repository:
    git clone https://github.com/username/project-name.git
  3. Navigate to the project directory:
    cd project-name
  4. Open the index.html file in a browser:
    • Simply double-click the index.html file or open it with your preferred web browser.

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Attempt to make a small selfLearning game using Q learning to discover reinforcement learning

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