https://github.com/edofarrell/norinori-honey-badger-algorithm

Game Playing Agent (Artificial Intelligence) - Solving the Norinori Puzzle using the Honey Badger Algorithm and Q-Learning
https://github.com/edofarrell/norinori-honey-badger-algorithm

artificial-intelligence game-playing-agent honey-badger-algorithm metaheuristic-algorithms norinori-solver python q-learning reinforcement-learning selenium-webdriver

Last synced: 3 months ago
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Game Playing Agent (Artificial Intelligence) - Solving the Norinori Puzzle using the Honey Badger Algorithm and Q-Learning

• Host: GitHub
• URL: https://github.com/edofarrell/norinori-honey-badger-algorithm
• Owner: edofarrell
• Created: 2024-07-11T12:49:48.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-11T12:59:17.000Z (6 months ago)
• Last Synced: 2024-09-28T14:41:23.179Z (3 months ago)
• Topics: artificial-intelligence, game-playing-agent, honey-badger-algorithm, metaheuristic-algorithms, norinori-solver, python, q-learning, reinforcement-learning, selenium-webdriver
• Language: Python
• Homepage:
• Size: 19.5 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Norinori using Honey Badger Algorithm and Q-Learning

## About the Project

The project involves developing an agent that implements the Honey Badger Algorithm and Q-Learning to solve a logic puzzle called Norinori.

The agent will preprocess the data using strategies discovered previously, and then implement the algorithm to obtain the final solution to the puzzle.

The puzzle's data is obtained from https://www.puzzle-norinori.com/ using web scraping.

> This project is a part of my thesis.

## Technologies

Python, Selenium