项目作者: Paperspace

项目描述 :
Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"
高级语言: Jupyter Notebook
项目地址: git://github.com/Paperspace/DinoRunTutorial.git
创建时间: 2018-05-22T00:53:36Z
项目社区:https://github.com/Paperspace/DinoRunTutorial

开源协议:MIT License

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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”



Video Sample

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”)