Tic-Tac-Toe-Machine-Learning-Using-Reinforcement-Learning and tictactoe
These are competitors offering alternative implementations of machine learning approaches to Tic Tac Toe, with A using Q-learning and TensorFlow for reinforcement learning while B uses an unspecified ML technique, both solving the same problem domain with different algorithmic approaches.
About Tic-Tac-Toe-Machine-Learning-Using-Reinforcement-Learning
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.
About tictactoe
rolyatmax/tictactoe
Tic Tac Toe Machine Learning
This project helps anyone curious about how basic machine learning, specifically reinforcement learning, works by teaching a computer to play Tic Tac Toe. You provide the game environment, and the system outputs a 'policy' or strategy that the computer uses to make moves, eventually playing optimally. It's designed for someone interested in observing or experimenting with machine learning fundamentals in a simple, understandable context.
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