Multi‐agent reinforcement learning via knowledge transfer with differentially private noise-Reference-Cited by-同舟云学术

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Multi‐agent reinforcement learning via knowledge transfer with differentially private noise

Published:2021-08-31 Issue:1 Volume:37 Page:799-828
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Cheng Zishuo¹^ORCID,Ye Dayong¹^ORCID,Zhu Tianqing¹^ORCID,Zhou Wanlei²^ORCID,Yu Philip S.³^ORCID,Zhu Congcong¹

Affiliation:

1. Centre of Cyber Security and Privacy, School of Computer Science University of Technology Sydney Ultimo New South Wales Australia

2. Institute of Data Science City University of Macau Macau Macao

3. Department of Computer Science University of Illinois at Chicago Chicago Illinois USA

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22648

Reference33 articles.

1. Tree‐based batch mode reinforcement learning;Ernst D;J Mach Learn Res,2005

2. TirinzoniA SessaA PirottaM RestelliM. Importance weighted transfer of samples in reinforcement learning. Proc. of ICML.2018.

3. LarocheR BarlierM. Transfer reinforcement learning with shared dynamics. Proc. of AAAI.2017.

4. DworkC. Differential privacy. Proc. of ICALP.2006:1‐12.

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