LSTM Path-Maker: a new LSTM-based strategy for the multi-agent patrolling
LSTM Path-Maker: a new LSTM-based strategy for the multi-agent patrolling
Files
Date
2019-01-08
Authors
Othmani-Guibourg, Mehdi
Farges, Jean-Loup
El Fallah Seghrouchni, Amal
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
Ending Page
Alternative Title
Abstract
Description
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
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 52nd Hawaii International Conference on System Sciences
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.