Tic-tac-toe with minimax AI algorithm, created with React.

MNK-game engine (generalized tic-tac-toe board game) and Player AI based on an improved Alpha-Beta pruning search algorithm with threat detection heuristic which runs in O(√(n!)*log(N+M)) time on average case

MNK Game è un'applicazione sviluppata in Java che implementa un avversario artificiale che gioca a una versione generalizzata di tris con M righe, N colonne e K segni da congiungere.

Framework for describing and simulating board games and other abstract strategy games

Progetto del corso di algoritmi e strutture dati.

Project for the University of Bologna Algorithms and Data Structures course (a.y. 2020-21).

MNK game - Alpha Beta pruning

A generalized Tic-Tac-Toe game solver

MNK game (generalized Tic-Tac-Toe) in a single line of python code

Solver for MNK-games

4th Project on A&DS TTC (MNK) with new algorithm PNS

Algorithms and Data Structures, 3rd project - Tic-Tac-Toe with solver (alfa-beta minimax)

k-in-a-go contains a k-in-a-row game on an m-by-n board (m,n,k-game) implementation in go without external dependencies. It runs a server allowing people or bots to play.

Java TicTacToe Engine

Player for generalised Connect Four able to pick each move within a time limit

🎮 Build and play a dynamic "M-N-K" game using Clojure, featuring customizable parameters for an engaging multiplayer experience.

RL for MNK games

Giocatore per progetto di algoritmi e strutture dati UniBO 20/21

MNK Game algorithm