November 2015
Intermediate to advanced
190 pages
4h 11m
English
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Chapter 3. Exploring the Unknown with Multi-armed Bandits
We'll start this chapter by building a simplistic algorithm and measuring its quality. Next, we'll build a much more intelligent algorithm. We will also build some tests to measure the quality improvement that we will achieve, specifically, a multi-armed bandit algorithm.
Understanding a bandit
A multi-armed bandit problem involves making a choice in the face of complete uncertainty. More specifically, imagine you're placed in front of several slot machines, and each has a different but fixed probability to pay out. How could you make as much money as possible?
So, this is a metaphor for the problem. It really applies to any situation where you have no information to start with, and where ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.