Deep Q-learning for playing chrome dino game

Apr 21, 2021 1 min read

Deep Q-learning for playing Chrome Dino

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.

chrome_dino_1
Result

The corresponding output video will also be generated and stored by default at output/chrome_dino.mp4
chrome_dino_2
Output video

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/chrome_dino.pth

Requirements

python 3.6
pygame
cv2
pytorch
numpy

GitHub

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

Games

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.

Deep Q-learning for playing chrome dino game