Machine-Learning-Flappy-Bird and flappy-bird-ai

These are competitors offering alternative implementations of AI-based Flappy Bird agents, with A using neural networks and genetic algorithms while B uses unspecified AI approaches to solve the same game-playing problem.

Machine-Learning-Flappy-Bird
51
Established
flappy-bird-ai
38
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 13/25
Adoption 3/25
Maturity 9/25
Community 13/25
Stars: 1,839
Forks: 393
Downloads: —
Commits (30d): 0
Language: JavaScript
License: MIT
Stars: 3
Forks: 2
Downloads: —
Commits (30d): 0
Language: TypeScript
License: AGPL-3.0
Stale 6m No Package No Dependents
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 flappy-bird-ai

virgs/flappy-bird-ai

Multiple ai powered flappy birds running for their survival

Related comparisons

Machine-Learning-Flappy-Bird and FlappyLearning Machine-Learning-Flappy-Bird and NeuroEvolution-Flappy-Bird Machine-Learning-Flappy-Bird and floppy-bird Machine-Learning-Flappy-Bird and flappybird-es Machine-Learning-Flappy-Bird and flappy-es Machine-Learning-Flappy-Bird and flappy-bird-neuroevolution

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