Uncertainty in Artificial Intelligence
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Approximate Planning for Factored POMDPs using Belief State Simplification
David McAllester, Satinder Singh
We are interested in the problem of planning for factored POMDPs. Building on the recent results of Kearns, Mansour and Ng, we provide a planning algorithm for factored POMDPs that exploits the accuracy-efficiency tradeoff in the belief state simplification introduced by Boyen and Koller.
Keywords: POMDPs, Belief State Planning, Factored POMDPs
Pages: 409-416
PS Link: http://www.research.att.com/~baveja/Papers/DaveSinghUAI99.ps.gz
PDF Link: /papers/99/p409-mcallester.pdf
AUTHOR = "David McAllester and Satinder Singh",
TITLE = "Approximate Planning for Factored POMDPs using Belief State Simplification",
BOOKTITLE = "Proceedings of the Fifteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-99)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1999",
PAGES = "409--416"

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