Influence of modeling structure in probabilistic sequential decision problems

DOI10.1051/ro:2006019zbMath1112.90092OpenAlexW2002637571MaRDI QIDQ3411302

Patrick Fabiani, Florent Teichteil-Königsbuch

Publication date: 11 December 2006

Published in: RAIRO - Operations Research (Search for Journal in Brave)

Full work available at URL: http://www.numdam.org/item?id=RO_2006__40_2_195_0

zbMATH Keywords

dynamic programmingprobabilistic planningMarkov Decision Processes

Mathematics Subject Classification ID

Combinatorics in computer science (68R05) Graph theory (including graph drawing) in computer science (68R10) Reasoning under uncertainty in the context of artificial intelligence (68T37) Markov and semi-Markov decision processes (90C40) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (2)

Practical solution techniques for first-order MDPs ⋮ Influence of modeling structure in probabilistic sequential decision problems

Cites Work

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• Solving factored MDPs using non-homogeneous partitions
• Abstraction and approximate decision-theoretic planning.
• Stochastic dynamic programming with factored representations
• A survey of algorithmic methods for partially observed Markov decision processes
• Influence of modeling structure in probabilistic sequential decision problems
• LAO*: A heuristic search algorithm that finds solutions with loops

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