Anytime Planning for Decentralized POMDPs using Expectation Maximization

Anytime Planning for Decentralized POMDPs using Expectation Maximization

Decentralized POMDPs provide an expressive framework for multi-agent sequential decision making. While finite-horizon DECPOMDPs have enjoyed signifcant success, progress remains slow for the infinite-horizon case mainly due to the inherent complexity of optimizing stochastic controllers representing...

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Bibliographic Details
Main Authors: KUMAR, Akshat, ZILBERSTEIN, Shlomo
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2010
Subjects:
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/2209
https://ink.library.smu.edu.sg/context/sis_research/article/3209/viewcontent/Anytime_Planning_for_Decentralized_POMDPs_using_Expectation_Maximization.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/2209
https://ink.library.smu.edu.sg/context/sis_research/article/3209/viewcontent/Anytime_Planning_for_Decentralized_POMDPs_using_Expectation_Maximization.pdf

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