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Decision-theoretic planning with non-Markovian rewards

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Date

2006

Authors

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

Journal Title

Journal ISSN

Volume Title

Publisher

Morgan Kauffman Publishers

Abstract

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

Description

Keywords

Keywords: Computer software; Decision theory; Dynamic programming; Formal logic; Functions; Heuristic methods; Planning; Hand-coded tracks; Markovian decision process (MDP) model; Non-Markovian rewards (NMRDP); Software platform; Artificial intelligence

Citation

Journal of Artificial Intelligence Research 25 (2006): 17-74

URI

http://hdl.handle.net/10440/32
 http://digitalcollections.anu.edu.au/handle/10440/32

Collections

ANU Research Publications

Source

Journal of Artificial Intelligence Research

Type

Journal article

Book Title

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