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https://github.com/tetraquark/ai-jumper
Simple example of using genetic algorithm for artificial neural networks
https://github.com/tetraquark/ai-jumper
Last synced: about 6 hours 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 (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2018-04-08T08:22:49.000Z (almost 7 years ago)
- Last Synced: 2024-11-14T01:39:26.629Z (2 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