ShuhuaGao/gpFlappyBird
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
This project helps anyone interested in seeing how an AI can learn to play the classic Flappy Bird game through an evolutionary process. You feed it the current game state (bird's position relative to pipes and pipe gap), and it outputs a decision to flap or not. The ideal end-user is a student, hobbyist, or educator exploring artificial intelligence concepts like genetic programming in a fun, visual way.
175 stars. No commits in the last 6 months.
Use this if you want to observe an AI agent learning a simple game strategy without relying on complex neural networks or deep reinforcement learning.
Not ideal if you're looking for a state-of-the-art AI for complex, real-world problems or a developer library for building advanced AI systems.
Stars
175
Forks
33
Language
Python
License
MIT
Category
Last pushed
Sep 19, 2020
Commits (30d)
0
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