Unbeatable AI for tic tac toe, using minimax algorithm
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Updated
Jan 28, 2017 - JavaScript
Unbeatable AI for tic tac toe, using minimax algorithm
Tic Tac Toe, written in C#. With Unbeatable AI function
A collection of games accompanied by a generalised Monte Carlo Tree Search Artificial Intelligence in combination with Upper Confidence Bounds.
Basic Q Learning algorithm on Tic-tac-toe game
A complete TicTacToe game created in java with a minimax AI
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A simple TicTacToe game with MiniMax algorithm and also with alpha beta pruning.
This is a tic tac toe game with an integrated AI that allows users to be able to face against it.
A TicTacToe mobile-friendly web-application made using JavaScript that implements a minimax AI to play against a the user.
tictactoe game, play against ai with minimax algo
Tic Tac Toe game based on Vanilla JS, CSS and HTML using Minimax Algorithm as AI agent. This game has two gameplay options - Single Player Mode and Two Player Mode.
An AI TicTacToe implementation using Monte Carlo Tree Search written in C++ and SFML.
The repository contains computer vs computer and Player vs Computer Tic Tac Toe Game. Its a non GUI output based python code that'll let you play this game upon executing the code.
A tic tac toe game in java, which can be trained by machine learning (console & gui).
🕹️ 🎮 TicTacToe with Minimax AI algorithm (C#). The game has the option of 'Multiplayer' in 'Singleplayer' against the computer.
A simple AI for TicTacToe with Alpha-Beta pruning and binary encoding for the board
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