Lunar Lander


Description

Lunar Lander® is a classic arcade game released by Atari® in 1979.  It is an established benchmark used to test artificial intelligence and machine learning.

This challenge allows users to conduct head-to- head machine learning challenges to land a rocket on the moon using the useAIble engine against proven machine learning engines like TensorFlow™ and Encog.

TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks. It is currently used for both research and production in dozens of commercial Google products, such as speech recognition, Gmail, Google Photos, and Google search. (Source: Wikipedia)

Encog is a machine learning framework available for Java, .Net, and C++. It’s main strength lies in its neural network algorithms. (Source: Wikipedia)


Back to Challenge Page

[insert_php]
//#mailmunch-pop-422078
if(!isset($_COOKIE[‘mailmunch_subscribed_386732’])) {
echo ‘

‘;
} else {
echo ‘

‘;
}
[/insert_php]

Play

View Data Sheet

Get Game Code

Read Blog