Invincible TicTacToe AI agent
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Updated
Oct 12, 2020 - Python
Invincible TicTacToe AI agent
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.
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.
Homework-2-KR-AI
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.
chess game using python, and django
A repository with some reinforcement learning projects
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.
Artificial Intelligence exercises.
Python-based Tic-Tac-Toe game that implements the minimax algorithm.
A console chess game in python working on the Artificial Intelligence min-max algorithm
TicTacToe with AI [Beginner's Project]
Python projects for Introduction to Artificial Intelligence course at Warsaw University of Technology.
Principles Of AI Lab Exercises
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 project implements various AI techniques for controlling Pac-Man agents, developed as part of UC Berkeley's CS188 Intro to AI course. It explores search algorithms, neural networks, Markov Decision Process (MDP) and reinforcement learning in a simulated environment.
This repo is all about implementing tic-tac-toe ai built using min-max algorithm.
Tic-tac-toe environment for machine learning algorithms like min-max algorithm or qlearning with gym environment compatibility.
backend engine for games
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