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.
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 flappy-bird-neuroevolution
thisisxvr/flappy-bird-neuroevolution
Genetic algorithms, neural networks, and Flappy Bird.
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