This is a Python script that implements the Flappy Bird game using the Pygame library and trains AI agents to play the game using the NEAT (NeuroEvolution of Augmenting Topologies) algorithm.
Before running the code, ensure you have the following installed:
- Python
- Pygame library
- NEAT library
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Clone the repository or download the code.
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Run the script to train AI agents:
To test the best-performing network:
Copy code python flappy_bird_neat.py --test
Code Overview The code is structured as follows:
Initialization of Pygame and game assets. Button and classes for the Bird and Obstacles. Functions for score display and the death window. AI training functions (train_ai and test_ai) using NEAT. Main function for setting up configuration and running AI training. Configuration The config.txt file contains configuration parameters for the NEAT algorithm.
License This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments This code is inspired by the Flappy Bird game and the NEAT algorithm. Special thanks to the Pygame and NEAT communities for their contributions. javascript Copy code
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