You're reading from Mastering Reinforcement Learning with Python

Product typeBook

Published inDec 2020

Reading LevelBeginner

PublisherPackt

ISBN-139781838644147

Edition1st Edition

Languages

Python

Tools

PyTorch

Concepts

Reinforcement Learning

Author (1)

Enes Bilgin

Section 4: Applications of RL

In this section, you will learn about various applications of RL, such as autonomous systems, supply chain management, cybersecurity, and others. We will learn how RL can be used to solve problems in various industries using these techniques. Finally, we will look at some of the challenges in RL and its future.

This section contains the following chapters:

Chapter 14, Solving Robot Learning
Chapter 15, Supply Chain Management
Chapter 16, Personalization, Marketing, and Finance
Chapter 17, Smart City and Cybersecurity
Chapter 18, Challenges and Future Directions in Reinforcement Learning

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Author (1)

Enes Bilgin

Enes Bilgin works as a senior AI engineer and a tech lead in Microsoft's Autonomous Systems division. He is a machine learning and operations research practitioner and researcher with experience in building production systems and models for top tech companies using Python, TensorFlow, and Ray/RLlib. He holds an M.S. and a Ph.D. in systems engineering from Boston University and a B.S. in industrial engineering from Bilkent University. In the past, he has worked as a research scientist at Amazon and as an operations research scientist at AMD. He also held adjunct faculty positions at the McCombs School of Business at the University of Texas at Austin and at the Ingram School of Engineering at Texas State University.
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