https://github.com/uvipen/Tetris-deep-Q-learning-pytorch

Deep Q-learning for playing tetris game
https://github.com/uvipen/Tetris-deep-Q-learning-pytorch

cv2 deep-q-learning deep-q-network pytorch reinforcement-learning

Last synced: about 1 month ago
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Deep Q-learning for playing tetris game

• Host: GitHub
• URL: https://github.com/uvipen/Tetris-deep-Q-learning-pytorch
• Owner: vietnh1009
• License: mit
• Created: 2020-03-29T10:35:44.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2023-04-03T20:17:10.000Z (almost 2 years ago)
• Last Synced: 2024-11-27T03:34:35.734Z (about 2 months ago)
• Topics: cv2, deep-q-learning, deep-q-network, pytorch, reinforcement-learning
• Language: Python
• Homepage:
• Size: 14 MB
• Stars: 475
• Watchers: 17
• Forks: 109
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# [PYTORCH] Deep Q-learning for playing Tetris

## Introduction

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



  


  Tetris demo



The demo could also be found at [youtube demo](https://youtu.be/g96x6uATAR8)

## 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/tetris**

 

## Requirements

* **python 3.6**

* **PIL**

* **cv2**

* **pytorch** 

* **numpy**

* **matplotlib**