Winning back the CUP for Distributed POMDPs: Planning over continuous belief spaces

Winning back the CUP for Distributed POMDPs: Planning over continuous belief spaces

Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms have been proposed to obtain locally or globally optimal policies. Unfortunately, most of these algorithms have either been...

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Bibliographic Details
Main Authors: VARAKANTHAM, Pradeep, Nair, Ranjit, Tambe, Milind, Yokoo, Makoto
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2006
Subjects:
Artificial Intelligence and Robotics
Business
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/940
https://ink.library.smu.edu.sg/context/sis_research/article/1939/viewcontent/AAMAS2006.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/940
https://ink.library.smu.edu.sg/context/sis_research/article/1939/viewcontent/AAMAS2006.pdf

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