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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.
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.
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.
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.
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.