Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59502

LSTM Path-Maker: a new LSTM-based strategy for the multi-agent patrolling

File Size Format  
0062.pdf 756.81 kB Adobe PDF View/Open

Item Summary

Title:LSTM Path-Maker: a new LSTM-based strategy for the multi-agent patrolling
Authors:Othmani-Guibourg, Mehdi
Farges, Jean-Loup
El Fallah Seghrouchni, Amal
Keywords:Emerging Issues in Distributed Group Decision-Making: Opportunities and Challenges
Collaboration Systems and Technologies
Artificial Neural Networks, Long Short-Term Memory, Multi-agent Coordinating, Multi-agent patrolling, Multi-agent systems
Date Issued:08 Jan 2019
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/59502
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.076
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Emerging Issues in Distributed Group Decision-Making: Opportunities and Challenges


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons