Picture 1 of 1

Gallery
Picture 1 of 1

Joelle Pineau Aviv Tamar Mohammed Ghavamzadeh Bayesian Reinforceme (Paperback)
AU $191.64
ApproximatelyRM 525.93
Condition:
Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
More than 10 available
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Shipping:
Does not ship to United States.
Located in: Rushden, United Kingdom
Delivery:
Varies
Returns:
No returns accepted.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Shop with confidence
Seller assumes all responsibility for this listing.
eBay item number:286652823095
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Bayesian Reinforcement Learning
- EAN
- 9781680830880
- ISBN
- 9781680830880
- Country/Region of Manufacture
- US
- Item Length
- 156mm
- Genre
- Computing & Internet
- ISBN-10
- 1680830880
- Title
- Bayesian Reinforcement Learning
- Subtitle
- A Survey
- Release Date
- 26/11/2015
- Release Year
- 2015
- Series
- Foundations and Trends® in Machine Learning
About this product
Product Information
Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference algorithms. This monograph provides the reader with an in-depth review of the role of Bayesian methods for the reinforcement learning (RL) paradigm. The major incentives for incorporating Bayesian reasoning in RL are that it provides an elegant approach to action-selection (exploration/exploitation) as a function of the uncertainty in learning, and it provides a machinery to incorporate prior knowledge into the algorithms. Bayesian Reinforcement Learning first discusses models and methods for Bayesian inference in the simple single-step Bandit model. It then reviews the extensive recent literature on Bayesian methods for model-based RL, where prior information can be expressed on the parameters of the Markov model. It also presents Bayesian methods for model-free RL, where priors are expressed over the value function or policy class. It is a comprehensive reference for students and researchers with an interest in Bayesian RL algorithms and their theoretical and empirical properties.
Product Identifiers
Publisher
Now Publishers Inc
ISBN-13
9781680830880
eBay Product ID (ePID)
220950111
Product Key Features
Number of Pages
146 Pages
Language
English
Publication Name
Bayesian Reinforcement Learning: a Survey
Publication Year
2015
Subject
Computer Science
Type
Textbook
Format
Paperback
Dimensions
Item Height
234 mm
Item Weight
216 g
Item Width
156 mm
Additional Product Features
Country/Region of Manufacture
United States
Series Title
Foundations and Trends (R) in Machine Learning
Item description from the seller
Seller business information
VAT number: GB 864 1548 11
Seller feedback (1,670,345)
- h***3 (434)- Feedback left by buyer.Past monthVerified purchaseGreat
- a***l (29)- Feedback left by buyer.Past monthVerified purchaseLove it
- a***s (4)- Feedback left by buyer.Past monthVerified purchaseUnfortunately the book was a digital copy and not an original as expected.