Abstraction and search for decision-theoretic planning

We investigate the use Markov Decision Processes a.s a means of representing worlds in which actions have probabilistic effects. Markov Decision Processes provide many representational advantages over traditional planning representations. As well as being able to represent actions with more than...

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Bibliographic Details
Main Author: Dearden, Richard William
Format: Others
Language:English
Published: 2009
Online Access:http://hdl.handle.net/2429/5461