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Deep Reinforcement Learning Hands-On
book

Deep Reinforcement Learning Hands-On

by Oleg Vasilev, Maxim Lapan, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla
June 2018
Intermediate to advanced content levelIntermediate to advanced
546 pages
13h 30m
English
Packt Publishing
Content preview from Deep Reinforcement Learning Hands-On

Chapter 13. Web Navigation

This chapter takes a look at another practical application of Reinforcement Learning (RL): web navigation and browser automation. We'll discuss why web navigation is important and how it can be solved with an RL approach. Next, we will take a deep look at one very interesting, but a commonly overlooked and a bit of abandoned RL benchmark, which was implemented by OpenAI and called Mini World of Bits.

Web navigation

When the web was invented, it started as several text-only web pages interconnected by hyperlinks. If you're curious, here is the first web page home: http://info.cern.ch/, with text and links. The only thing you can do is to read and click on links to go between pages. Several years later, in 1995, IETF published ...

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Publisher Resources

ISBN: 9781788834247Supplemental Content