Chess game with a minimax-based player in C, including GUI built using SDL2 toolkit
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Updated
Feb 25, 2019 - C
Chess game with a minimax-based player in C, including GUI built using SDL2 toolkit
Tic-Tac-Toe with Monte Carlo Tree Search and MiniMax Alpha-beta pruning algorithms in C
Tic Tac Toe implementation using C and Python.
Project for the Artificial Intelligence course @cse.uoi.gr
Connect 4 board game with an AI
A project in C, for MiniMax, Alpha Beta prunning (also has a random tree generator for testing)
The aim of this project to create a type of game engine (non playble character) that plays Othello efficiently using a minimax algorithm. This all was done using concurrency as well.
📊🔄Dive into the captivating world of AI-driven gaming, where stickers of graph algorithms 📊, a dynamic blend of Dijkstra's 🌐 and bread-first search 🔍, and a thrilling twist on the minimax algorithm come together to craft an exhilarating gameplay experience🎮. Step into the future🌌, where your every move is guided by the power of heuristic AI.
Player vs CPU Tic-Tac-Toe game using the Minimax Algorithm with Alpha-Beta Pruning.
The goal of this project is to create a simplified version of "wargame" to be played by 2 players and to implement a low-level artificial intelligence, so that it can play a game and compete with a human player. The Minimax algorithm is then implemented and optimized with the alpha/beta pruning.
Jogo da Velha desenvolvido na linguagem C para a displina Algoritmos e Estruturas de Dados II. Possui a implementação de uma inteligência artificial desenvolvida pelo algoritmo minimax.
This project aims to build an Unbeatable Tic-Tac-Toe game using artificial intelligence
AI based Tic Tac Toe game using Minimax Algorithm (full tree search) written in C.
A rudimentary chess game application with a command-line interface. Written in C.
Minimax implementation used for chess evaluation
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