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

Training an agent to walk using TRPO

In this section, let's learn how to train the agent to walk using Trust Region Policy Optimization (TRPO). Let's use the MuJoCo environment for training the agent. MuJoCo stands for Multi-Joint dynamics with Contact and is one of the most popular simulators used for training agents to perform continuous control tasks.

Note that MuJoCo is a proprietary physics engine, so we need to acquire a license to use it. Also, MuJoCo offers a free 30-day trial period. Installing MuJoCo requires a specific set of steps. So, in the next section, we will see how to install the MuJoCo environment.

Installing the MuJoCo environment

First, in your home directory, create a new hidden folder called .mujoco. Next, go to the MuJoCo website (https://www.roboti.us/) and download MuJoCo according to your operating system. As shown in Figure 16.6, MuJoCo provides support for Windows, Linux, and macOS: