Machine-Learning-Flappy-Bird and NeuroEvolution-Flappy-Bird
These are competitors—both implement AI approaches to play Flappy Bird (genetic algorithms/neuroevolution vs. neural networks), targeting the same use case of demonstrating machine learning techniques on a simple game environment.
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 NeuroEvolution-Flappy-Bird
ikergarcia1996/NeuroEvolution-Flappy-Bird
A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python
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