junghyun397/TetrisXQ
Difficult and annoying Tetris implemented by Reinforcement-Learning
This project offers a unique Tetris environment for experimenting with and developing your own reinforcement learning agents. It takes in various reinforcement learning algorithms, such as Deep Q-Networks (DQN), and outputs trained AI models capable of playing Tetris. Researchers, students, or enthusiasts in artificial intelligence and machine learning would find this useful.
No commits in the last 6 months.
Use this if you are developing or testing new reinforcement learning algorithms and need a challenging, well-defined game environment like Tetris to train and evaluate your AI models.
Not ideal if you are looking for a casual Tetris game to play yourself or a pre-trained, unbeatable Tetris AI.
Stars
8
Forks
1
Language
Python
License
—
Category
Last pushed
Sep 22, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/junghyun397/TetrisXQ"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
crispy-chiken/YugiohAi
A Yugioh Ai Learning bot
RyanSaxe/mtg
State of the Art Magic: the Gathering Draft and DeckBuilder AI.
Ludeme/LudiiTutorials
This repository contains various tutorials for game design and programming with the Ludii...
pbondoer/leekwars
(simple) Leek Wars AI
KINGdotNET/kingdotnet.github.io
KING.NET - Free Games for Life.