This repository contains the code for an Artificial Intelligence Program that can play Tic-Tac-Toe. The AI utilizes the Monte Carlo Tree Search algorithm to find the optimal move against its opponent.
There are two versions of this script:
The first is the mcts.py where a player can play against the AI.
The other version is the noplayer.py in which the computer runs simulations on the AI and plots its win rate on a graph.
git clone https://github.com/Sheel2007/AI-TicTacToe
cd AI-TicTacToe
pip3 install -r requirements.txt
python3 mcts.py
Note: If the commands pip3 and python3 do not work use the commands pip and python respectively. Additionally, if you want to run the simulation use the command
python3 noplayer.py
or alternatively
python noplayer.py
Huge thanks to Professor David Steier at Carnegie Mellon Heinz College for giving me the opportunity to work on this project and providing me guidance throughout the development stages.