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Joelle Pineau Aviv Tamar Mohammed Ghavamzadeh Bayesian Reinforceme (Paperback)

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Last updated on Jun 21, 2025 12:35:11 MYTView all revisionsView all revisions

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
Author
Mohammed Ghavamzadeh, Shie Mannor, Aviv Tamar, Joelle Pineau
Format
Paperback

Dimensions

Item Height
234 mm
Item Weight
216 g
Item Width
156 mm

Additional Product Features

Country/Region of Manufacture
United States
Title_Author
Aviv Tamar, Joelle Pineau, Mohammed Ghavamzadeh, Shie Mannor
Series Title
Foundations and Trends (R) in Machine Learning

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