Machine-Learning-Flappy-Bird and AI-Flappy-Bird

These are competing implementations of the same concept—both use evolutionary algorithms (genetic algorithms/neural networks) to train AI agents to play Flappy Bird—making them alternatives rather than complementary tools.

AI-Flappy-Bird
29
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 1/25
Maturity 16/25
Community 12/25
Stars: 1,839
Forks: 393
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
Stars: 1
Forks: 1
Downloads:
Commits (30d): 0
Language: JavaScript
License: GPL-3.0
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 AI-Flappy-Bird

fifi000/AI-Flappy-Bird

Watch out, it's survival of the fittest in the avian world! Birds either learn to fly or are terminated...

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