https://github.com/vietnh1009/flappy-bird-deep-q-learning-pytorch

Deep Q-learning for playing flappy bird game
https://github.com/vietnh1009/flappy-bird-deep-q-learning-pytorch

deep-q-learning deep-q-network pygame pytorch reinforcement-learning

Last synced: 5 months ago
JSON representation

Deep Q-learning for playing flappy bird game

• Host: GitHub
• URL: https://github.com/vietnh1009/flappy-bird-deep-q-learning-pytorch
• Owner: vietnh1009
• License: mit
• Created: 2019-04-15T16:43:25.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2021-10-07T10:15:54.000Z (about 4 years ago)
• Last Synced: 2024-12-20T16:16:34.670Z (10 months ago)
• Topics: deep-q-learning, deep-q-network, pygame, pytorch, reinforcement-learning
• Language: Python
• Homepage:
• Size: 25.6 MB
• Stars: 513
• Watchers: 19
• Forks: 133
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# [PYTORCH] Deep Q-learning for playing Flappy Bird

## Introduction

Here is my python source code for training an agent to play flappy bird. It could be seen as a very basic example of Reinforcement Learning's application.



  


  Result



## How to use my code

With my code, you can:

* **Train your model from scratch** by running **python train.py**

* **Test your trained model** by running **python test.py**

## Trained models

You could find my trained model at **trained_models/flappy_bird**

 

## Requirements

* **python 3.6**

* **pygame**

* **cv2**

* **pytorch** 

* **numpy**