Adversarial retraining attack of asynchronous advantage actor-critic based pathfinding

Chen, Tong, Liu, Jiqiang, Xiang, Yingxiao,, Niu, Wenjia, Tong, Endong, Wang, Shuoru, Li, He, Chang, Liang, Li, Gang and Chen, Qi Alfred 2021, Adversarial retraining attack of asynchronous advantage actor-critic based pathfinding, International journal of intelligent systems, pp. 1-24, doi: 10.1002/int.22380.

Attached Files
Name Description MIMEType Size Downloads

Title Adversarial retraining attack of asynchronous advantage actor-critic based pathfinding
Author(s) Chen, Tong
Liu, Jiqiang
Xiang, Yingxiao,
Niu, Wenjia
Tong, Endong
Wang, Shuoru
Li, He
Chang, Liang
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Chen, Qi Alfred
Journal name International journal of intelligent systems
Start page 1
End page 24
Total pages 24
Publisher Wiley
Place of publication Chichester, Eng.
Publication date 2021
ISSN 0884-8173
1098-111X
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
A3C
evasion attack
pathfinding
reinforcement learning
retraining attack
Notes Early View Article
Language eng
DOI 10.1002/int.22380
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
1702 Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30148676

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 11 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 08 Mar 2021, 11:55:29 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.