This project provides an introduction to data analysis using Python.
Implémention des algorithmes MinMax, AlphaBeta et MCTS au jeu du puissance 4 en python.
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.
[AAAI 2018] "Towards distributed coevolutionary GANs" by Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, Una-May O'Reilly
A Chess which can be played as an 2 player game or vs a Bot.
AI team project — Domineering board game AI engine — Python • Game state evaluation heuristic • Alpha-beta pruning • Move ordering • Transpositon table • Zobrist hashing
This repo is all about implementing tic-tac-toe ai built using min-max algorithm.
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, ...
Invincible TicTacToe AI agent
Automated Car with Reinforcement Learning. Learning is done using penalty and rewards.
Implementation of Genetic Algorithm, Memetic Algorithm and Constraint Satisfaction on a Time Table scheduling problem. Also has an implementation of MiniMax Strategy for TicTacToe
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
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).
Implementation of min max algorithm on simple tic-tac-toe based game
AI connect4 agent using MIn-Max algorithm and BitBoards
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