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  Planning in Decentralized POMDPs with Predictive Policy Representations

Boularias, A., & Chaib-draa, B. (2008). Planning in Decentralized POMDPs with Predictive Policy Representations. In ICAPS 2008 Multiagent Planning Workshop (MASPLAN 2008) (pp. 1-7).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C74F-C Version Permalink: http://hdl.handle.net/21.11116/0000-0003-38A3-6
Genre: Conference Paper

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Boularias, A1, Author              
Chaib-draa, B, Author
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 Abstract: We discuss the problem of policy representation in stochastic and partially observable systems, and address the case where the policy is a hidden parameter of the planning problem. We propose an adaptation of the Predictive State Representations (PSRs) to this problem by introducing tests (sequences of actions and observations) on policies. The new model, called the Predictive Policy Representations (PPRs), is potentially more compact than the other representations, such as decision trees or Finite-State Controllers (FSCs). In this paper, we show how PPRs can be used to improve the performances of a point-based algorithm for DEC-POMDP.

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 Dates: 2008-09
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: 6836
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Title: ICAPS 2008 Multiagent Planning Workshop (MASPLAN 2008)
Place of Event: Sydney, Australia
Start-/End Date: 2008-09-14

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Title: ICAPS 2008 Multiagent Planning Workshop (MASPLAN 2008)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 7 Identifier: -