Machine-Learning-Flappy-Bird and flappy-bird-neuroevolution

These are competitors—both implement neuroevolution (genetic algorithms + neural networks) to solve Flappy Bird, offering alternative implementations of the same approach rather than tools designed to work together.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 1/25
Maturity 16/25
Community 13/25
Stars: 1,839
Forks: 393
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
Stars: 1
Forks: 2
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Machine-Learning-Flappy-Bird

ssusnic/Machine-Learning-Flappy-Bird

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

This project helps game developers and AI enthusiasts explore how machine learning can be applied to simple game environments. It demonstrates how a 'bird' character can learn to navigate obstacles in a Flappy Bird-style game. By inputting the bird's distance and height relative to gaps, the system outputs optimal flap actions, allowing users to see an AI agent learn to play the game.

game-AI neuro-evolution genetic-algorithms game-development AI-learning-demonstration

About flappy-bird-neuroevolution

thisisxvr/flappy-bird-neuroevolution

Genetic algorithms, neural networks, and Flappy Bird.

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