Skip navigation
Skip navigation

Decision-theoretic planning with non-Markovian rewards

Thiebaux, Sylvie M; Gretton, Charles; Slaney, John K; Price, David; Kabanza, Froduald


A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decision-theoretic planning, where many desirable behaviours are more naturally expressed as

CollectionsANU Research Publications
Date published: 2006
Type: Journal article
Source: Journal of Artificial Intelligence Research


File Description SizeFormat Image
Thiebaux_Decision2006.pdf682.74 kBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator