Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications-Reference-Cited by-同舟云学术

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Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications

Published:2023 Issue: Volume: Page:1-21
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Munikoti Sai¹^ORCID,Agarwal Deepesh²^ORCID,Das Laya³,Halappanavar Mahantesh¹,Natarajan Balasubramaniam²^ORCID

Affiliation:

1. Data Science and Machine Intelligence Group, Pacific Northwest National Laboratory, Richland, WA, USA

2. Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA

3. Reliability and Risk Engineering Laboratory, ETH Zürich, Zürich, Switzerland

Funder

U

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10161704.pdf?arnumber=10161704

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