https://github.com/tetraquark/ai-jumper

Simple example of using genetic algorithm for artificial neural networks
https://github.com/tetraquark/ai-jumper

Last synced: 8 months ago
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Simple example of using genetic algorithm for artificial neural networks

• Host: GitHub
• URL: https://github.com/tetraquark/ai-jumper
• Owner: Tetraquark
• License: mit
• Created: 2018-02-09T09:54:41.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-04-08T08:22:49.000Z (over 7 years ago)
• Last Synced: 2025-01-13T16:16:43.207Z (9 months ago)
• Language: Python
• Size: 36.1 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# AI-Jumper

## About

AI-Jumper - simple example of using genetic algorithm for artificial neural networks.

The project simulates the genetic selection of Jumpers - objects with an artificial neural network (MLP),

which jump over the precipices.

See how it works on the Youtube video:

[![AI-Jumpers: example of Genetic algorithm for Artificial neural networks](http://img.youtube.com/vi/RFdse1_aYeM/0.jpg)](http://www.youtube.com/watch?v=RFdse1_aYeM)

### Controls

* Left arrow - slows the simulation by 32 fps.

* Right arrow - accelerates the simulation by 32 fps.

* Spacebar - on/off pause.

![Interface screenshot](http://tetraquark.ru/wp-content/uploads/2018/02/aijumper_screenshot2.png)

## Running

`python main.py`

## Dependencies

* numpy

* pygame