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Robustness Assessment of Asynchronous Advantage Actor-Critic Based on Dynamic Skewness and Sparseness Computation: A Parallel Computing View

Chen, T, Liu, JQ, Li, H, Wang, SR, Niu, WJ, Tong, ED, Chang, L, Chen, QA and Li, Gang 2021, Robustness Assessment of Asynchronous Advantage Actor-Critic Based on Dynamic Skewness and Sparseness Computation: A Parallel Computing View, Journal of Computer Science and Technology, vol. 36, no. 5, pp. 1002-1021, doi: 10.1007/s11390-021-1217-z.

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Title Robustness Assessment of Asynchronous Advantage Actor-Critic Based on Dynamic Skewness and Sparseness Computation: A Parallel Computing View
Author(s) Chen, T
Liu, JQ
Li, H
Wang, SR
Niu, WJ
Tong, ED
Chang, L
Chen, QA
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Journal name Journal of Computer Science and Technology
Volume number 36
Issue number 5
Start page 1002
End page 1021
Total pages 20
Publisher Springer
Place of publication New York, N.Y.
Publication date 2021
ISSN 1000-9000
1860-4749
Keyword(s) robustness assessment
skewness
sparseness
asynchronous advantage actor-critic
reinforcement learning
Language eng
DOI 10.1007/s11390-021-1217-z
Field of Research 08 Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30158343

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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Created: Thu, 11 Nov 2021, 07:47:54 EST

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