AI-driven board game composed of nine tic-tac-toe boards arranged in a 3 × 3 grid.
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Updated
Jul 24, 2021 - Python
AI-driven board game composed of nine tic-tac-toe boards arranged in a 3 × 3 grid.
Toy project -- implementing Gomoku in PyQT with minimax and alpha/beta pruning.
Six Men's Morris Minimax Algorithm with Alpha-Beta Pruning
Tic-tac-toe game with minimax implementation
TicTacToe with AI player on 3x3 and 5x5 boards
Tic-tac-toe game using minimax algorithm with alpha-beta pruning
A game-playing AI agent is developed for a Competitive Sudoku game using minimax algorithm with alpha-beta pruning and iterative deepening. It is further advanced using heuristics and Monte Carlo Tree Search algorithm.
A simple Connect 4 game implemented using Python and Tkinter
Group project for the Curricular Unit of "Elements of Artificial Intelligence and Data Science" @ FCUP, Porto with @tomazcomz
play tic tac toe, 2d, 3d, n by n; against yourself, minimax, random
Implemented the Minimax algorithm with Alpha-Beta pruning for an AI player in Connect4
My firts Pygame project, A Connect4 game where you can play against a friend or an AI.
A Python multiplayer chess game that uses an inbuilt AI. The AI uses a MiniMax algorithm optimized with alpha beta pruning.
Course main project for AI course instructed by Dr. Armin Salimi, spring 2023, Shahid Beheshti University
Pygame Tic Tac Toe AI Project - Using Minimax Algorithm
Implementation of checkers (draughts) strategy board game with AI
Chess game with AI ( implemented with minimax, with alpha-beta pruning ) and online mode.
Program that uses Expectimax (or Minimax with alpha beta pruning) search to win a game of Sticks
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