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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 2. Reinforcement Learning and Deep Reinforcement Learning FREE CHAPTER 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

Creating Custom OpenAI Gym Environments - CARLA Driving Simulator

In the first chapter, we looked at the various categories of learning environments available in the OpenAI Gym environment catalog. We then explored the list of environments and their nomenclature in Chapter 5, Implementing your First Learning Agent – Solving the Mountain Car problem, as well as a sneak peek into some of them. We also developed our agents to solve the Mountain Car and Cart Pole problems, and a few Atari game environments. By now, then, you should have a good understanding of the various environment types and flavors that are available with OpenAI Gym. Most often, once we learn how to develop our own intelligent agents, we want to use that knowledge and skill to develop intelligent agents to solve new problems, problems that we already face, or even problems that are of interest to us. For...

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