jamesq9/Tic-Tac-Toe-Machine-Learning-Using-Reinforcement-Learning
A Python Program to implement Machine Learning for the Game Tic Tac Toe (3x3) using Reinforcement Learning (Q learning technique) and tensorflow.
This program helps anyone interested in artificial intelligence understand how a computer can learn to play a simple game like Tic-Tac-Toe. It takes game outcomes as input and trains a 'brain' for the computer player. The output is an AI opponent named 'Ticky' that you can play against to see how it learns and adapts. It's designed for students, educators, or hobbyists curious about machine learning.
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Use this if you want to explore how reinforcement learning works in a practical, easy-to-understand game context.
Not ideal if you're looking for an AI solution for complex strategy games or general game development.
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Language
Python
License
MIT
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Last pushed
Jul 19, 2017
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