Machine-Learning-Flappy-Bird and Genetic-Algorithm-Flappy-Bird-Using-TensorFlowJS
These two tools are competitors, both implementing genetic algorithms for Flappy Bird AI, with the distinction that B utilizes TensorFlow.js for its implementation.
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 Genetic-Algorithm-Flappy-Bird-Using-TensorFlowJS
Tanish0019/Genetic-Algorithm-Flappy-Bird-Using-TensorFlowJS
Flappy Bird genetic algorithm made using TensorflowJS
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