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 applications in various areas. Due to computational constraints, existing research typically focuses either on unstructured domains with many agents, where we are content with heuristic solutions, or domains with small numbers of agents or special...

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Bibliographic Details
Main Authors: GORDON, Geoff, VARAKANTHAM, Pradeep Reddy, YEOH, William, SRINIVASAN, Ajay, LAU, Hoong Chuin, CHENG, Shih-Fen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Multi-agent Planning
Lagrangian Relaxation
Artificial Intelligence and Robotics
Business
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/1565
https://ink.library.smu.edu.sg/context/sis_research/article/2564/viewcontent/aamas12_slr.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/1565
https://ink.library.smu.edu.sg/context/sis_research/article/2564/viewcontent/aamas12_slr.pdf

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