Shypd.aiThe largest open index of AI toolsFlappy-bird-deep-Q-learning-pytorch is an Open Source reinforcement learning project that demonstrates deep Q-learning for playing the Flappy Bird game. It allows users to train and test their own models.
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Flappy-bird-deep-Q-learning-pytorch is an open-source Python project designed to showcase the application of deep Q-learning in the context of the popular Flappy Bird game. This repository provides the necessary source code for users to train an AI agent to play Flappy Bird from scratch, offering a practical, basic example of reinforcement learning principles. Beyond training, the project also enables users to test pre-trained models, making it a valuable resource for understanding and experimenting with deep Q-learning. The project is built using Python 3.6 and leverages libraries such as PyTorch, Pygame, OpenCV, and NumPy, making it accessible for developers and researchers interested in AI and game development.
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