Machine-Learning-Flappy-Bird and flappy-es
These are ecosystem siblings—both implement different AI approaches (neural networks with genetic algorithms vs. evolution strategies) to solve the same Flappy Bird problem, representing alternative algorithmic implementations rather than tools designed to work together or replace each other.
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-es
mdibaiee/flappy-es
Flappy Bird AI using Evolution Strategies
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