Home Projects FlappyLearning
FlappyLearning
JavaScript

FlappyLearning

Program learning to play Flappy Bird by machine learning (Neuroevolution)

by xviniette · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
flappybirdmachine-learningneuroevolutionMITJavaScript
View on GitHub
In plain words

Create a program that learns to play Flappy Bird using machine learning techniques.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
FlappyLearning — GitHub preview card
📈 Star history
3 9943 993
2026-07-072026-08-31
📈 Track FlappyLearning

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Program learning to play Flappy Bird by machine learning (Neuroevolution)

FlappyLearning has 4k stars on GitHub. It has been forked 501 times. FlappyLearning is written mainly in JavaScript. It has been in active development since 2016. FlappyLearning is available under the MIT license. Its main topics are flappybird, machine-learning, neuroevolution.

Frequently asked questions

What is FlappyLearning?

Program learning to play Flappy Bird by machine learning (Neuroevolution)

Is FlappyLearning open source?

FlappyLearning is an open-source project. It is released under the MIT license.

Is FlappyLearning free?

Yes. FlappyLearning is free and open source — you can use, modify and self-host it.

What license does FlappyLearning use?

FlappyLearning is available under the MIT license.

What language is FlappyLearning written in?

FlappyLearning is written mainly in JavaScript.

🏅 Maintainer of this project?
olud.ai badge — FlappyLearning

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=xviniette-flappylearning)](https://olud.ai/project/xviniette-flappylearning.html)
More badge options →
🧬 Shares DNA with

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.