DinoRunTutorial

Dino Run Tutorial

A Deep Convolutional Neural Network to play Google Chrome’s offline Dino Run game by learning action patterns from visual input using a model-less Reinforcement Learning Algorithm

Accompanying code for Paperspace tutorial “Build an AI to play Dino Run”

Installation

Start by cloning the repository

$ git clone https://github.com/Paperspace/DinoRunTutorial.git
You need to initialize the file system to save progress and resume from last step.
Invoke init_cache() for the first time to do this

Dependencies can be installed using pip install or conda install for Anaconda environment

• Python 3.6 Environment with ML libraries installed (numpy,pandas,keras,tensorflow etc)
• Selenium
• OpenCV
• ChromeDriver

ChromeDriver can be installed by going to (link - https://chromedriver.chromium.org/downloads) and also download the driver according to your chrome version which can be found under settings->About Chrome.
Change the path of chrome driver accordingly in Reinforcement Learning Dino Run.ipynb.(Default =“…/chromedriver”)