Description: About this Item The item is a book Paperback The Author Name is Michael C. Fu The Title is Risk-Sensitive Reinforcement Learning via Policy Gradient Search Condition New Other Comments Pages Count - 170. Binding type - Perfect. Content Language - English Category - COMPUTERS / Data Science / Machine Learning Product Description - Reinforcement learning RL is one of the foundational pillars of artificial intelligence and machine learning. An important consideration in any optimization or control problem is the notion of risk, but its incorporation into RL has been a fairly recent development. This monograph surveys research on risk-sensitive RL that uses policy gradient search. The authors survey some of the recent work in this area specifically where policy gradient search is the solution approach. In the first risk-sensitive RL setting, they cover popular risk measures based on variance, conditional value at-risk and chance constraints, and present a template for policy gradient-based risk-sensitive RL algorithms using a Lagrangian formulation. For the setting where risk is incorporated directly into the objective function, they consider an exponential utility formulation, cumulative prospect theory, and coherent risk measures. Written for novices and experts alike the authors have made the text completely self-contained but also organized in a manner that allows expert readers to skip background chapters. This is a complete guide for students and researchers working on this aspect of machine learning. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 166135019
Price: 106.45 USD
Location: US
End Time: 2024-12-10T18:06:54.000Z
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Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / Data Science / Machine Learning
Brand: Foundations and Trends (R) in Machine Learning
Weight: 0.25
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Title: Risk-Sensitive Reinforcement Learning via Policy Gradient Search
Release Title: Risk-Sensitive Reinforcement Learning via Policy Gradient Search
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Film/TV Title: Risk-Sensitive Reinforcement Learning via Policy Gradient Search
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Movie/TV Title: Risk-Sensitive Reinforcement Learning via Policy Gradient Search
UPC: 9781638280262
EAN: 9781638280262
ISBN: 9781638280262
Number of Pages: 170
Binding Type: Perfect
Item Height: 9.14
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Publication Name: Risk-Sensitive Reinforcement Learning Via Policy Gradient Search
Language: English
Publisher: Now Publishers
Subject: Machine Theory
Publication Year: 2022
Type: Textbook
Item Weight: 8.8 Oz
Item Length: 9.2 in
Subject Area: Computers
Author: Michael C. Fu, Prashanth L. A.
Item Width: 6.1 in
Series: Foundations and Trends in Machine Learning Ser.
Format: Trade Paperback
