senseiiesnes/AI-Warehouse-Robot

A Q-Learning solution to the Warehouse Robot problem.

Warehouse Robot Solution with Q-Learning

Table of Contents

• Overview
• Features
• Requirements
• Getting Started

Overview

This repository contains a Python solution for a warehouse robot using Q-learning. The robot is trained to navigate and optimize its path within a warehouse environment to efficiently collect and deliver items.

Features

• Q-learning algorithm for autonomous robot navigation.
• Warehouse environment simulator.
• Optimized path planning for item collection and delivery.

Requirements

• Python 3.10
• Additional Python libraries
  • simpleguics2pygame
  • numpy

Getting Started

1. Clone the repository:

   git clone https://github.com/senseiiesnes/AI-Warehouse-Robot.git

2. Install Dependencies

   pip install numpy SimpleGUICS2Pygame

3. Run the main.py script

   python main.py

4. Follow the on-screen instructions to start and configure the simulation.

5. Watch as the robot learns and optimizes its path over time.

6. Analyze and visualize the results.