There are 1 repository under mini-max-algorithm topic.
A checkers library with modern web GUI, Supprots multiple variants of game.
It's Tic-Tac-Toe Unbeatable A.I.
The mancala game consists of two-player, which is a turn-based strategy board games. There are two modes i) player vs player ii)AI Bot vs player. AI Bots works on Mini Max Algorithm
Tic Tac Toe game built with vanilla JS
Implementation of Tic tac toe game using mini-max algorithm and alpha-beta pruning with JavaFX
Tic-tac-toe is a game in which two players take turns in drawing either an ' O' or an ' X' in one square of a grid consisting of nine squares. The winner is the first player to get three squares of the same symbols in a row, column or diagonal. This C++ Code uses the MiniMax Algorithm to play as computer opponent.
TicTacToe with mini max algorithm
An autonomous Tic-Tac-Toe-playing robot powered by Arduino, programmed using C++ and python. Equipped with a camera, the robot captures real-time game data, processing it using the 'minimax algorithm' to calculate the optimal move. Once determined, the robot activates its robotic arm, maneuvering the designated game piece to the desired position.
Optimization of Connect4 Game using Mini-Max Algorithm and Alpha-Beta Pruning Algorithm.
Game Othelo (Reversi) made in WPF with several AI implementations
Artificial Intelligence (COMP 424) Project
Tic Tac Toe Game Using Mini Max Algorithm
Implementation of the client-server software system «Playing Chess»
TIC TAC TOE using MINI-MAX Algorithm.
Unbeatable tic-tac-toe player based on the minimax algorithm written in Prolog.
Implementing the impossible to beat Tic-Tac-Toe game against an AI using ES6 and the Mini-Max algorithm.
AI playing connect 4 using heuristic mini-max with alpha beta pruning
Droughts console game with Alpha-beta pruning as a modified version of the minimax algorithm
Tic Tac Toe using game theory
Four_In_A_Row problem has been solved using Python Language with the comprehensive implementation of Min-Max Alpha-Beta Pruning Algorithm. The Depth of the search for the algorithm has been customized for a quicker but less accurate response from an AI agent.