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.

Machine-Learning-Flappy-Bird
51
Established
AI-Flappy-Bird
22
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 1/25
Maturity 9/25
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

Implements neuro-evolution by combining a 3-layer neural network (2 input neurons sensing gap distance/height, 6 hidden neurons, 1 output neuron) with a genetic algorithm that performs selection, crossover, and mutation across generations. Built entirely in HTML5 using the Phaser game framework and Synaptic neural network library, with fitness calculated as distance traveled minus proximity to obstacles.

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...

Related comparisons

Machine-Learning-Flappy-Bird and FlappyLearning Machine-Learning-Flappy-Bird and flappy-bird-ai Machine-Learning-Flappy-Bird and NeuroEvolution-Flappy-Bird Machine-Learning-Flappy-Bird and floppy-bird Machine-Learning-Flappy-Bird and flappybird-es Machine-Learning-Flappy-Bird and flappy-es

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