An implementation of the bejeweled game logic with several minmax-based player AIs

Artificial intelligence that plays Draughts game

Artificial Intelligence Projects

AI connect4 agent using MIn-Max algorithm and BitBoards

Implementation of min max algorithm on simple tic-tac-toe based game

The Dragon Queen is a game played on a board with 5 columns and 5 rows. One player (Player 1) controls the Queen, who has three Dragon protectors. The other player (Player 2) controls 5 wights (a.k.a zombies).

Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method

Implementation of Genetic Algorithm, Memetic Algorithm and Constraint Satisfaction on a Time Table scheduling problem. Also has an implementation of MiniMax Strategy for TicTacToe

Automated Car with Reinforcement Learning. Learning is done using penalty and rewards.

Invincible TicTacToe AI agent

An artificial intelligence for the game of Othello (with a grid of 10x10) in Python. Multiples approach used, A-B, multi-threading, bloom's filter, ...

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

Final project for my python class & a little bit mix of AI

AI team project — Domineering board game AI engine — Python • Game state evaluation heuristic • Alpha-beta pruning • Move ordering • Transpositon table • Zobrist hashing

AI in game Domineering

A Chess which can be played as an 2 player game or vs a Bot.

It is a tic-tac-toe game written in python using the pygame framework and the computer AI is implemented using the minimax algorithm

[AAAI 2018] "Towards distributed coevolutionary GANs" by Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, Una-May O'Reilly