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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
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Author (1)
Enes Bilgin
Enes Bilgin
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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.
Read more about Enes Bilgin

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Case study: Online advertising

Consider a company that wants to advertise a product on various websites through digital banners, aiming to attract visitors to the product landing page. Among multiple alternatives, the advertiser company wants to find out which banner is the most effective and has the maximum click-through rate (CTR), which is defined as the total number of clicks an ad receives divided by the total number of impressions (number of times it is shown).

Every time a banner is about to be shown on a website, it is the advertiser's algorithm that chooses the banner (for example, through an API provided by the advertiser to the website) and observes whether the impression has resulted in a click or not. This is a great use case for a MAB model, which could boost the clicks and product sales. What we want the MAB model to do is to identify the ad that performs the best as early as possible, display it more, and write off the ad(s) that is(are) a clear loser(s) as...

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Mastering Reinforcement Learning with Python
Published in: Dec 2020Publisher: PacktISBN-13: 9781838644147
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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.
Read more about Enes Bilgin

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