Description: Further DetailsTitle: Mastering Reinforcement Learning with PythonCondition: NewSubtitle: Build next-generation, self-learning models using reinforcement learning techniques and best practicesEAN: 9781838644147ISBN: 9781838644147Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 12/18/2020Description: Get hands-on experience in creating state-of-the-art reinforcement learning agents using TensorFlow and RLlib to solve complex real-world business and industry problems with the help of expert tips and best practicesKey FeaturesUnderstand how large-scale state-of-the-art RL algorithms and approaches workApply RL to solve complex problems in marketing, robotics, supply chain, finance, cybersecurity, and moreExplore tips and best practices from experts that will enable you to overcome real-world RL challengesBook Description Reinforcement learning (RL) is a field of artificial intelligence (AI) used for creating self-learning autonomous agents. Building on a strong theoretical foundation, this book takes a practical approach and uses examples inspired by real-world industry problems to teach you about state-of-the-art RL. Starting with bandit problems, Markov decision processes, and dynamic programming, the book provides an in-depth review of the classical RL techniques, such as Monte Carlo methods and temporal-difference learning. After that, you will learn about deep Q-learning, policy gradient algorithms, actor-critic methods, model-based methods, and multi-agent reinforcement learning. Then, you'll be introduced to some of the key approaches behind the most successful RL implementations, such as domain randomization and curiosity-driven learning. As you advance, you’ll explore many novel algorithms with advanced implementations using modern Python libraries such as TensorFlow and Ray’s RLlib package. You’ll also find out how to implement RL in areas such as robotics, supply chain management, marketing, finance, smart cities, and cybersecurity while assessing the trade-offs between different approaches and avoiding common pitfalls. By the end of this book, you’ll have mastered how to train and deploy your own RL agents for solving RL problems.What you will learnModel and solve complex sequential decision-making problems using RLDevelop a solid understanding of how state-of-the-art RL methods workUse Python and TensorFlow to code RL algorithms from scratchParallelize and scale up your RL implementations using Ray's RLlib packageGet in-depth knowledge of a wide variety of RL topicsUnderstand the trade-offs between different RL approachesDiscover and address the challenges of implementing RL in the real worldWho this book is for This book is for expert machine learning practitioners and researchers looking to focus on hands-on reinforcement learning with Python by implementing advanced deep reinforcement learning concepts in real-world projects. Reinforcement learning experts who want to advance their knowledge to tackle large-scale and complex sequential decision-making problems will also find this book useful. Working knowledge of Python programming and deep learning along with prior experience in reinforcement learning is required.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Enes BilginGenre: Computing & InternetISBN-10: 1838644148Release Year: 2020 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Mastering Reinforcement Learning with Python
Title: Mastering Reinforcement Learning with Python
Subtitle: Build next-generation, self-learning models using reinforcement l
EAN: 9781838644147
ISBN: 9781838644147
Release Date: 12/18/2020
Release Year: 2020
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 1838644148
Number of Pages: 544 Pages
Language: English
Publication Name: Mastering Reinforcement Learning with Python : Build Next-Generation, Self-learning Models Using Reinforcement Learning Techniques and Best Practices
Publisher: Packt Publishing, The Limited
Publication Year: 2020
Subject: Machine Theory, Intelligence (Ai) & Semantics, Neural Networks, General
Type: Textbook
Subject Area: Computers, Science
Author: Enes Bilgin
Item Length: 3.6 in
Item Width: 3 in
Format: Trade Paperback
