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
This project helps game developers and AI enthusiasts explore how machine learning can be applied to simple game environments. It demonstrates how a 'bird' character can learn to navigate obstacles in a Flappy Bird-style game. By inputting the bird's distance and height relative to gaps, the system outputs optimal flap actions, allowing users to see an AI agent learn to play the game.
About Genetic-Algorithm-Flappy-Bird-Using-TensorFlowJS
Tanish0019/Genetic-Algorithm-Flappy-Bird-Using-TensorFlowJS
Flappy Bird genetic algorithm made using TensorflowJS
This project helps you explore how a computer can learn to play the popular game Flappy Bird entirely on its own. It takes a virtual 'population' of birds, each with a simple digital 'brain,' and lets them try to navigate the game. The result shows how a system can improve its performance over time, just by repeatedly trying and learning from its successes.
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