You're reading from TensorFlow 2 Reinforcement Learning Cookbook Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

Product type Paperback

Published in Jan 2021

Publisher Packt

ISBN-13 9781838982546

Length 472 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Reinforcement Learning

Author (1):

Palanisamy

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Table of Contents (11) Chapters

Preface

1. Chapter 1: Developing Building Blocks for Deep Reinforcement Learning Using Tensorflow 2.x

2. Chapter 2: Implementing Value-Based, Policy-Based, and Actor-Critic Deep RL Algorithms FREE CHAPTER

3. Chapter 3: Implementing Advanced RL Algorithms

4. Chapter 4: Reinforcement Learning in the Real World – Building Cryptocurrency Trading Agents

5. Chapter 5: Reinforcement Learning in the Real World – Building Stock/Share Trading Agents

6. Chapter 6: Reinforcement Learning in the Real World – Building Intelligent Agents to Complete Your To-Dos

7. Chapter 7: Deploying Deep RL Agents to the Cloud

8. Chapter 8: Distributed Training for Accelerated Development of Deep RL Agents

9. Chapter 9: Deploying Deep RL Agents on Multiple Platforms

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Technical requirements

The code in this book has been extensively tested on Ubuntu 18.04 and Ubuntu 20.04, which means it should work with later versions of Ubuntu if Python 3.6+ is available. With Python 3.6+ installed, along with the necessary Python packages listed in the Getting ready sections of each recipe, the code should run fine on Windows and Mac OSX too. It is advised that you create and use a Python virtual environment named tf2rl-cookbook to install the packages and run the code in this book. Installing Miniconda or Anaconda for Python virtual environment management is recommended. You will also need to install the Chromium chrome driver on your system. On Ubuntu 18.04+, you can install it by using the sudo apt-get install chromium-chromedriver command.

The complete code for each recipe in each chapter will be available here: https://github.com/PacktPublishing/Tensorflow-2-Reinforcement-Learning-Cookbook.