You can download the example code files for this book from your account at http://www.packtpub.com. If you purchased this book elsewhere, you can visit http://www.packtpub.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Deep-Reinforcement-Learning-Hands-On. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: https://www.packtpub.com/sites/default/files/downloads/DeepReinforcementLearningHandsOn_ColorImages.pdf.

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. For example; "The method get_observation() is supposed to return to the agent the current environment's observation."

A block of code is set as follows:

    def get_actions(self):
        return [0, 1]

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

    def get_actions(self):
        return [0, 1]

Any command-line input or output is written as follows:

$ xvfb-run -s "-screen 0 640x480x24" python 04_cartpole_random_monitor.py

Bold: Indicates a new term, an important word, or words that you see on the screen, for example, in menus or dialog boxes, also appear in the text like this. For example: "In practice it's some piece of code, which implements some policy."