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  Exact Dynamic Programming for Decentralized POMDPs with Lossless Policy Compression

Boularias, A., & Chaib-draa, B. (2008). Exact Dynamic Programming for Decentralized POMDPs with Lossless Policy Compression. In J. Rintanen, B. Nebel, J. Beck, & E. Hansen (Eds.), Eighteenth International Conference on Automated Planning and Scheduling (ICAPS 2008) (pp. 20-27). Menlo Park, CA, USA: AAAI Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C741-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-385C-8
Genre: Conference Paper

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 Creators:
Boularias, A1, Author              
Chaib-draa, B, Author
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1External Organizations, ou_persistent22              

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 Abstract: High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal joint policy computation intractable. The belief state for a given agent is a probability distribution over the system states and the policies of other agents. Belief compression is an efficient POMDP approach that speeds up planning algorithms by projecting the belief state space to a low-dimensional one. In this paper, we introduce a new method for solving DEC-POMDP problems, based on the compression of the policy belief space. The reduced policy space contains sequences of actions and observations that are linearly independent. We tested our approach on two benchmark problems, and the preliminary results confirm that Dynamic Programming algorithm scales up better when the policy belief is compressed.

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 Dates: 2008-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 6828
 Degree: -

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Title: Eighteenth International Conference on Automated Planning and Scheduling (ICAPS '08)
Place of Event: Sydney, Australia
Start-/End Date: 2008-09-14 - 2008-09-18

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Title: Eighteenth International Conference on Automated Planning and Scheduling (ICAPS 2008)
Source Genre: Proceedings
 Creator(s):
Rintanen, J, Editor
Nebel, B, Editor
Beck, JC, Editor
Hansen, EA, Editor
Affiliations:
-
Publ. Info: Menlo Park, CA, USA : AAAI Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 20 - 27 Identifier: -