Probabilistic Inference Techniques for Scalable Multiagent Decision Making

Probabilistic Inference Techniques for Scalable Multiagent Decision Making

Decentralized POMDPs provide an expressive framework for multiagent sequential decision making. However, the complexity of these models---NEXP-Complete even for two agents---has limited their scalability. We present a promising new class of approximation algorithms by developing novel connections be...

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Bibliographic Details
Main Authors: Akshat KUMAR, ZILBERSTEIN, Shlomo, TOUSSAINT, Marc
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Artificial Intelligence and Robotics
Computer Sciences
Online Access:https://ink.library.smu.edu.sg/sis_research/3076
https://ink.library.smu.edu.sg/context/sis_research/article/4076/viewcontent/10944_Article_Text_20419_1_10_20180216.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/3076
https://ink.library.smu.edu.sg/context/sis_research/article/4076/viewcontent/10944_Article_Text_20419_1_10_20180216.pdf

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