書名： Hands-On Q-Learning with Python
作者名： Nazia Habib
本章字?jǐn)?shù)： 213字
更新時(shí)間： 2021-06-24 15:13:13

Technical requirements

You will need the following packages installed to complete the exercises in this chapter. We will not be writing code as part of the exercises for this chapter, but we will provide some short coding examples from later chapters that will be useful for you to familiarize yourself with:

Python 3.5+
NumPy
OpenAI Gym (please refer to Chapter 3, Setting Up Your First Environment with OpenAI Gym, for installation and setup instructions)

We strongly encourage you to familiarize yourself with the official OpenAI Gym documentation for the Taxi-v2 environment and the other environments that we will be working with in this book. You will find a great deal of useful information on these environments and how to access the information and functionality you need from them. You can find the documentation at https://gym.openai.com/docs/.

The code for the exercises in this book can be found at https://github.com/PacktPublishing/Hands-On-Q-Learning-with-Python/.

We will start developing our code in Chapter 3, Setting Up Your First Environment with OpenAI Gym, but some code snippets will be included in this chapter for illustration purposes. You will find all the code in this chapter in the Chapter 3, Setting Up Your First Environment with OpenAI Gym, section of the GitHub repository (https://github.com/PacktPublishing/Hands-On-Q-Learning-with-Python/tree/master/Chapter03).

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Hands-On Q-Learning with Python

Technical requirements