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Decision-theoretic planning with non-Markovian rewards

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

Description

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
URI: http://hdl.handle.net/10440/32
http://digitalcollections.anu.edu.au/handle/10440/32
Source: Journal of Artificial Intelligence Research

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