Invincible TicTacToe AI agent

Homework-2-KR-AI

Python projects for Introduction to Artificial Intelligence course at Warsaw University of Technology.

A repository with some reinforcement learning projects

This repo is all about implementing tic-tac-toe ai built using min-max algorithm.

Artificial Intelligence exercises.

implement an AI agent for playing a two-player game. Assignment 2 of the course COL-333: Introduction to Artificial Intelligence Semester I, 2022-23 at IIT Delhi.

Minimax algorithm and alpha-beta pruning are applied to solve competing vacuum cleaners that want to clean a room from dirts.

Tic-tac-toe environment for machine learning algorithms like min-max algorithm or qlearning with gym environment compatibility.

backend engine for games

The Tic Tac Toe game project is a classic implementation of the popular game, developed in Python. It offers two exciting modes of play: single-player and multiplayer. The game is played on a 3x3 grid, where players take turns marking their moves with 'X' and 'O' symbols.

It is a simple chess game which runs on a flask server. It is equipped with one built-in chess engine. It has an assistant which gives the user some introduction, instructions and credits.

This is a modified version of the classic checkers game created for academic purposes as a project for the AI Laboratory. The game introduces unique features, including vertical piece movements , special power pieces such as archers, king, and hero. The AI is implemented using the Min-Max algorithm with a depth level of 3 for strategic gameplay.

Principles Of AI Lab Exercises

This codebase features AI algorithms for smarter gaming experiences. It includes implementations of strategies like Greedy, Minimax, Alpha-Beta Pruning, and Expectimax. These algorithms empower AI agents to make optimal decisions in games, enhancing strategic gameplay.

A console chess game in python working on the Artificial Intelligence min-max algorithm

This project provides game logic for AI and human players using the Minimax algorithm with alpha-beta pruning. It includes functions for managing game states, simulating AI vs AI, AI vs Human, and AI vs Monte Carlo gameplay, and visualizing the board.

Python-based Tic-Tac-Toe game that implements the minimax algorithm.

TicTacToe with AI [Beginner's Project]