An implementation of AI player for Gomoku.
-
Updated
Jul 20, 2023 - Python
An implementation of AI player for Gomoku.
AI player of the game 2048 (expectiminimax + alpha-beta pruning + iterative deepening search)
This project is a Python implementation of the classic Pacman game, using the MinMax algorithm for decision making.
Project using minmax and alpha beta pruning to make ai for tictactoe and connect4 with gui using pygame
Used min-max alpha-beta pruning algorithm to make an AI (easy, medium, hard), implemented on the server-side with Django Rest-Framework. Used Angular for frontend.
Ultimate Tic-Tac-Toe against AI
Link Presentation : https://youtu.be/JfNR6zEKbc4
Connect Four game for Android with optional AI opponent
Connect 4 game against AI agent using MinMax algrorithm and pyqt5 GUI framework
A .NET Othello game.
AI project bagh-chal game implemented using min-max algorithm
A minmax based tic-tac-toe game for a school project.
Alpha Beta algorithm implementation for ConnectFour game.
The game "Three in a row" with a GUI and an unbeatable engine.
Minimax, Alpha-beta Pruning, Expectimax를 활용한 Multi-Agent 구현
Add a description, image, and links to the minmax-alpha-beta-pruning topic page so that developers can more easily learn about it.
To associate your repository with the minmax-alpha-beta-pruning topic, visit your repo's landing page and select "manage topics."