You're reading from Deep Reinforcement Learning with Python Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow

Product type Paperback

Published in Sep 2020

Publisher Packt

ISBN-13 9781839210686

Length 760 pages

Edition 2nd Edition

Languages

Python

Tools

Deep Reinforcement Learning

Concepts

Deep Reinforcement Learning

Author (1):

Sudharsan Ravichandiran

View More author details

Table of Contents (22) Chapters

Preface

1. Fundamentals of Reinforcement Learning

2. A Guide to the Gym Toolkit FREE CHAPTER

3. The Bellman Equation and Dynamic Programming

4. Monte Carlo Methods

5. Understanding Temporal Difference Learning

6. Case Study – The MAB Problem

7. Deep Learning Foundations

8. A Primer on TensorFlow

9. Deep Q Network and Its Variants

10. Policy Gradient Method

11. Actor-Critic Methods – A2C and A3C

12. Learning DDPG, TD3, and SAC

13. TRPO, PPO, and ACKTR Methods

14. Distributional Reinforcement Learning

15. Imitation Learning and Inverse RL

16. Deep Reinforcement Learning with Stable Baselines

17. Reinforcement Learning Frontiers

18. Other Books You May Enjoy

19. Index

Appendix 1 – Reinforcement Learning Algorithms

1. Appendix 2 – Assessments

Deep Reinforcement Learning with Stable Baselines

So far, we have learned various deep reinforcement learning (RL) algorithms. Wouldn't it be nice if we had a library to easily implement a deep RL algorithm? Yes! There are various libraries available to easily build a deep RL algorithm.

One such popular deep RL library is OpenAI Baselines. OpenAI Baselines provides an efficient implementation of many deep RL algorithms, which makes them easier to use. However, OpenAI Baselines does not provide good documentation. So, we will look at the fork of OpenAI Baselines called Stable Baselines.

Stable Baselines is an improved implementation of OpenAI Baselines. Stable Baselines is easier to use and it also includes state-of-the-art deep RL algorithms along with several useful features. We can use Stable Baselines for quickly prototyping the RL model.

Let's start off the chapter by installing Stable Baselines, and then we will learn how to create our first agent...