Suji04/jumpingameAI

Watch the AI learn:

33
/ 100
Emerging

This project lets you observe an artificial intelligence as it learns to play a simple jumping game. It takes the game's environment as input and, through trial and error, develops strategies to achieve high scores. This is useful for anyone interested in seeing fundamental AI learning principles, like neural networks and genetic algorithms, applied in an engaging visual context.

No commits in the last 6 months.

Use this if you want to visualize how an AI can autonomously learn game physics and improve its performance without explicit programming for each move.

Not ideal if you are looking for an AI to play complex, modern video games or a tool for developing your own game AI.

AI-learning-visualization game-AI-demonstration neural-network-simulation genetic-algorithm-example educational-AI-tool
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 18 / 25

How are scores calculated?

Stars

30

Forks

15

Language

JavaScript

License

Category

flappy-bird-ai

Last pushed

May 11, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Suji04/jumpingameAI"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.