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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

Other open source Python-based learning environments

In this section, we will discuss recent Python-based learning environments that provide a good platform for intelligent agent development but don't necessarily have a Gym-compatible environment interface. Although they do not provide Gym-compatible interfaces, the environments we will be discussing in this section were carefully selected to make sure that either a Gym wrapper (to make it compatible with the Gym interface) is available, or they are easy to implement in order to use and experiment with the agents we have developed through this book. As you can guess, this list of good Python-based learning environments for developing intelligent agents will grow in the future, as this area is being very actively researched at the moment. The book's code repository will have information and quickstart guides for new environments...

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