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Hands-On Intelligent Agents with OpenAI Gym

You're reading from   Hands-On Intelligent Agents with OpenAI Gym Your guide to developing AI agents using deep reinforcement learning

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788836579
Length 254 pages
Edition 1st Edition
Languages
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Author (1):
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Palanisamy Palanisamy
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Palanisamy
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Table of Contents (12) Chapters Close

Preface 1. Introduction to Intelligent Agents and Learning Environments FREE CHAPTER 2. Reinforcement Learning and Deep Reinforcement Learning 3. Getting Started with OpenAI Gym and Deep Reinforcement Learning 4. Exploring the Gym and its Features 5. Implementing your First Learning Agent - Solving the Mountain Car problem 6. Implementing an Intelligent Agent for Optimal Control using Deep Q-Learning 7. Creating Custom OpenAI Gym Environments - CARLA Driving Simulator 8. Implementing an Intelligent - Autonomous Car Driving Agent using Deep Actor-Critic Algorithm 9. Exploring the Learning Environment Landscape - Roboschool, Gym-Retro, StarCraft-II, DeepMindLab 10. Exploring the Learning Algorithm Landscape - DDPG (Actor-Critic), PPO (Policy-Gradient), Rainbow (Value-Based) 11. Other Books You May Enjoy

Getting Started with OpenAI Gym and Deep Reinforcement Learning

The introduction chapters gave you a good insight into the OpenAI Gym toolkit and reinforcement learning in general. In this chapter, we will jump right in and get you and your computer ready with all the required preparation, installations, and configurations to start developing your agents. More importantly, you will also find instructions to access the book's code repositories, which contain all the code you will need to follow this book in its entirety, along with several other code examples, useful instructions, and updates.

In this chapter, we will cover the following topics:

  • Accessing the code repository for this book
  • Creating an Anaconda environment for working through this book
  • How to install and configure OpenAI Gym and dependencies on your system
  • Installing tools, libraries, and dependencies for deep...
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