Lagrangian relaxation for large-scale multi-agent planning

Lagrangian relaxation for large-scale multi-agent planning

Multi-agent planning is a well-studied problem with various applications including disaster rescue, urban transportation and logistics, both for autonomous agents and for decision support to humans. Due to computational constraints, existing research typically focuses on one of two scenarios: unstru...

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Bibliographic Details
Main Authors: GORDON, Geoffrey J., VARAKANTHAM, Pradeep, YEOH, William, LAU, Hoong Chuin, ARAVAMUDHAN, Ajay S., CHENG, Shih-Fen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Gradient Descent
Lagrangian Relaxation
Multi-Agent Systems
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4364
https://ink.library.smu.edu.sg/context/sis_research/article/5367/viewcontent/gordon_etal_lagrangian_relaxation_IAT.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4364
https://ink.library.smu.edu.sg/context/sis_research/article/5367/viewcontent/gordon_etal_lagrangian_relaxation_IAT.pdf

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