2048 with expectimax for the autoplay (botSolver/AI)
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Updated
Jun 4, 2024 - GDScript
2048 with expectimax for the autoplay (botSolver/AI)
Tic-Tac-Toe game logic with Random, Minimax, and Heuristic AI agents competing against a human player in a round-robin tournament. Explore agent dynamics and performance in matches against human opponent.
Rolit/othello game using adversarial search (AI course project at AUT)
Business War Policy Exploration-AI project for CS181 in Shanghaitech
Ai agent for pacman
Pokémon battles simulator, with the use of MiniMax-Type algorithms (Artificial Intelligence project)
A rust implementation of the famous 2048 game
The phase 2 of my AI project, which is adversarial search in Pacman game for reaching the best utility and avoiding ghosts. Minimax with alpha-beta pruning and Expectimax is implemented.
Temporal difference learning for 2048
一个100KB的内置强大AI的安卓2048小游戏。每秒5次移动的情况下,AI有94%概率合成16384。A 100KB android 2048 game with a powerful AI !!!
Pacman Minimax Porject 2
A set of AIs for the 2048 tile-merging game. Includes an expectimax strategy that reaches 16384 with 34.6% success and an ML model trained with temporal difference learning.
This repository contains my solutions for the projects of Artificial Intelligence course at Iran University of Science and Technology (IUST).
My solutions to projects 1, 2 & 3 of Berkeley's AI course
an Expectimax algorithm implementation for an AI class project
Introduction to Artificial Intelligence - Assignment 13 miniMax, alpha-beta Pruning, Expectimax...
🤖 2048 AI that reaches the 16,384 Tile
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