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.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 4/25
Maturity 1/25
Community 16/25
Stars: 1,839
Forks: 393
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
Stars: 8
Forks: 6
Downloads:
Commits (30d): 0
Language: JavaScript
License:
Stale 6m No Package No Dependents
No License 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 Genetic-Algorithm-Flappy-Bird-Using-TensorFlowJS

Tanish0019/Genetic-Algorithm-Flappy-Bird-Using-TensorFlowJS

Flappy Bird genetic algorithm made using TensorflowJS

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