Machine-Learning-Flappy-Bird and FlappyLearning
These two programs are competitors, both implementing machine learning (specifically neuroevolution and neural networks with genetic algorithms) to teach a computer to play Flappy Bird, offering alternative approaches to the same problem.
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 FlappyLearning
xviniette/FlappyLearning
Program learning to play Flappy Bird by machine learning (Neuroevolution)
This program helps demonstrate how machine learning can tackle simple control tasks in games. It takes the game state (like the bird's position and upcoming pipes) and, through an evolutionary process, learns to output the optimal 'flap' or 'no flap' action. This is primarily for developers, educators, or students interested in seeing neuroevolution in action within a game context.
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