Reinforcement Learning
Richard S. Sutton
Reading Time
at 250 WPM9h 12m
The average reader, reading at a speed of 250 WPM, would take 9h 12m to read Reinforcement Learning.
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19
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552
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Reinforcement Learning
Published
2018
Publisher
MIT Press
Pages
552
ISBN-13
9780262352703
Description
Reinforcement learning is the learning of a mapping from situations to actions so as to maximize a scalar reward or reinforcement signal. The learner is not told which action to take, as in most forms of machine learning, but instead must discover which actions yield the highest reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward, but also the next situation, and through that all subsequent rewards. These two characteristics -- trial-and-error search and delayed reward -- are the most important distinguishing features of reinforcement learning. Reinforcement learning is both a new and a very old topic in AI. The term appears to have been coined by Minsk (1961), and independently in control theory by Walz and Fu (1965). The earliest machine learning research now viewed as directly relevant was Samuel's (1959) checker player, which used temporal-difference learning to manage delayed reward much as it is used today. Of course learning and reinforcement have been studied in psychology for almost a century, and that work has had a very strong impact on the AI/engineering work. One could in fact consider all of reinforcement learning to be simply the reverse engineering of certain psychological learning processes (e.g. operant conditioning and secondary reinforcement). Reinforcement Learning is an edited volume of original research, comprising seven invited contributions by leading researchers.
Subjects
Frequently Asked Questions
How many pages are in Reinforcement Learning?
This edition of Reinforcement Learning has approximately 552 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Reinforcement Learning?
For most readers, Reinforcement Learning typically takes between 11h 30m and 7h 40m to complete. This is based on the book's length of approximately 138,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 9h 12m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 19 days • Estimated word count: 138,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Reinforcement Learning?
The estimated word count for Reinforcement Learning is approximately 138,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Reinforcement Learning?
Reinforcement Learning was written by Richard S. Sutton.
When was Reinforcement Learning published?
The publication date for this specific edition is 2018. The original work may have been published on a different date.