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Markov Decision Processes in Artificial Intelligence (Sigaud/Markov Decision Processes in Artificial Intelligence) || Stochastic Games

โœ Scribed by Sigaud, Olivier; Buffet, Olivier

Book ID
120498250
Publisher
John Wiley & Sons, Inc.
Year
2013
Tongue
English
Weight
754 KB
Edition
1
Category
Article
ISBN
1848211678

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โœฆ Synopsis

markov Decision Processes (mdps) Are A Mathematical Framework For Modeling Sequential Decision Problems Under Uncertainty As Well As Reinforcement Learning Problems. Written By Experts In The Field, This Book Provides A Global View Of Current Research Using Mdps In Artificial Intelligence. It Starts With An Introductory Presentation Of The Fundamental Aspects Of Mdps (planning In Mdps, Reinforcement Learning, Partially Observable Mdps, Markov Games And The Use Of Non-classical Criteria). Then It Presents More Advanced Research Trends In The Domain And Gives Some Concrete Examples Using Illustrative Applications.

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