Font Size: Make font size smaller Make font size default Make font size larger Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping

Distributed POMDPs provide an expressive framework for modeling multiagent collaboration problems, but NEXPComplete complexity hinders their scalability and application in real-world domains. This paper introduces a subclass of distributed POMDPs, and TREMOR, an algorithm to solve such distributed P...

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Main Authors: VARAKANTHAM, Pradeep, KWAK, Jun Young, Taylor, Matthew, Marecki, Janusz, Scerri, Paul, Tambe, Milind
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Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/478
https://ink.library.smu.edu.sg/context/sis_research/article/1477/viewcontent/733_4082_1_PB.pdf
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spelling sg-smu-ink.sis_research-14772016-05-16T09:56:25Z Font Size: Make font size smaller Make font size default Make font size larger Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping VARAKANTHAM, Pradeep KWAK, Jun Young Taylor, Matthew Marecki, Janusz Scerri, Paul Tambe, Milind Distributed POMDPs provide an expressive framework for modeling multiagent collaboration problems, but NEXPComplete complexity hinders their scalability and application in real-world domains. This paper introduces a subclass of distributed POMDPs, and TREMOR, an algorithm to solve such distributed POMDPs. The primary novelty of TREMOR is that agents plan individually with a single agent POMDP solver and use social model shaping to implicitly coordinate with other agents. Experiments demonstrate that TREMOR can provide solutions orders of magnitude faster than existing algorithms while achieving comparable, or even superior, solution quality. 2009-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/478 https://ink.library.smu.edu.sg/context/sis_research/article/1477/viewcontent/733_4082_1_PB.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University POMDP Multiagent planning Uncertainty Partially observability Artificial Intelligence and Robotics Business Operations Research, Systems Engineering and Industrial Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic POMDP
Multiagent planning
Uncertainty
Partially observability
Artificial Intelligence and Robotics
Business
Operations Research, Systems Engineering and Industrial Engineering
spellingShingle POMDP
Multiagent planning
Uncertainty
Partially observability
Artificial Intelligence and Robotics
Business
Operations Research, Systems Engineering and Industrial Engineering
VARAKANTHAM, Pradeep
KWAK, Jun Young
Taylor, Matthew
Marecki, Janusz
Scerri, Paul
Tambe, Milind
Font Size: Make font size smaller Make font size default Make font size larger Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping
description Distributed POMDPs provide an expressive framework for modeling multiagent collaboration problems, but NEXPComplete complexity hinders their scalability and application in real-world domains. This paper introduces a subclass of distributed POMDPs, and TREMOR, an algorithm to solve such distributed POMDPs. The primary novelty of TREMOR is that agents plan individually with a single agent POMDP solver and use social model shaping to implicitly coordinate with other agents. Experiments demonstrate that TREMOR can provide solutions orders of magnitude faster than existing algorithms while achieving comparable, or even superior, solution quality.
format text
author VARAKANTHAM, Pradeep
KWAK, Jun Young
Taylor, Matthew
Marecki, Janusz
Scerri, Paul
Tambe, Milind
author_facet VARAKANTHAM, Pradeep
KWAK, Jun Young
Taylor, Matthew
Marecki, Janusz
Scerri, Paul
Tambe, Milind
author_sort VARAKANTHAM, Pradeep
title Font Size: Make font size smaller Make font size default Make font size larger Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping
title_short Font Size: Make font size smaller Make font size default Make font size larger Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping
title_full Font Size: Make font size smaller Make font size default Make font size larger Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping
title_fullStr Font Size: Make font size smaller Make font size default Make font size larger Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping
title_full_unstemmed Font Size: Make font size smaller Make font size default Make font size larger Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping
title_sort font size: make font size smaller make font size default make font size larger exploiting coordination locales in distributed pomdps via social model shaping
publisher Institutional Knowledge at Singapore Management University
publishDate 2009
url https://ink.library.smu.edu.sg/sis_research/478
https://ink.library.smu.edu.sg/context/sis_research/article/1477/viewcontent/733_4082_1_PB.pdf
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