Letting loose a SPIDER on a network of POMDPs: Generating quality guranteed policies

Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the significant complexity of solving distributed POMDPs, particularly as we scale up the numbers of agents, one popular approach...

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Bibliographic Details
Main Authors: VARAKANTHAM, Pradeep Reddy, Marecki, Janusz, Yokoo, Makoto, Tambe, Milind
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
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Online Access:https://ink.library.smu.edu.sg/sis_research/947
http://portal.acm.org/citation.cfm?id=1329388
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Institution: Singapore Management University
Language: English