Scalable Multiagent Planning using Probabilistic Inference

Scalable Multiagent Planning using Probabilistic Inference

Multiagent planning has seen much progress with the development of formal models such as Dec-POMDPs. However, the complexity of these models -- NEXP-Complete even for two agents -- has limited scalability. We identify certain mild conditions that are sufficient to make multiagent planning amenable t...

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Bibliographic Details
Main Authors: KUMAR, Akshat, ZILBERSTEIN, Shlomo, TOUSSAINT, Marc
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/2204
https://ink.library.smu.edu.sg/context/sis_research/article/3204/viewcontent/Scalable_Multiagent_Planning_using_Probabilistic_Inference.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/2204
https://ink.library.smu.edu.sg/context/sis_research/article/3204/viewcontent/Scalable_Multiagent_Planning_using_Probabilistic_Inference.pdf

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