Deep Reinforcement Learning Hands-On, 2nd Edition

Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more



Bookstore > Books > Deep Reinforcement Learning Hands-On, 2nd Edition

Price$37.50 - $50.00
Rating
AuthorMaxim Lapan
PublisherPackt Publishing
Published2020
Pages826
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101838826998
ISBN-139781838826994
EBook Hardcover Paperback

Deep Reinforcement Learning Hands-On, Second Edition is an updated and expanded version of the bestselling guide to the very latest reinforcement learning (RL) tools and techniques. It provides you with an introduction to the fundamentals of RL, along with the hands-on ability to code intelligent learning agents to perform a range of practical tasks.

With six new chapters devoted to a variety of up-to-the-minute developments in RL, including discrete optimization (solving the Rubik's Cube), multi-agent methods, Microsoft's TextWorld environment, advanced exploration techniques, and more, you will come away from this book with a deep understanding of the latest innovations in this emerging field.

In addition, you will gain actionable insights into such topic areas as deep Q-networks, policy gradient methods, continuous control problems, and highly scalable, non-gradient methods. You will also discover how to build a real hardware robot trained with RL for less than $100 and solve the Pong environment in just 30 minutes of training using step-by-step code optimization.

In short, Deep Reinforcement Learning Hands-On, Second Edition, is your companion to navigating the exciting complexities of RL as it helps you attain experience and knowledge through real-world examples.


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