Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks-Reference-Cited by-同舟云学术

Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
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Author:

Zhang Hengxi¹^ORCID,Tang Huaze¹^ORCID,Ding Wenbo²^ORCID,Zhang Xiao-Ping³^ORCID

Affiliation:

1. Tsinghua University, China and Tsinghua University, China

2. Tsinghua-Berkeley Shenzhen Institute, China and RISC-V International Open Source Laboratory, China

3. Tsinghua, China and RISC-V International Open Source Laboratory, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594739.3612912

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