Hierarchical Coordination Multi-Agent Reinforcement Learning With Spatio-Temporal Abstraction-Reference-Cited by-同舟云学术

Hierarchical Coordination Multi-Agent Reinforcement Learning With Spatio-Temporal Abstraction

Published:2024-02 Issue:1 Volume:8 Page:533-547
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Ma Tinghuai¹^ORCID,Peng Kexing²^ORCID,Rong Huan³^ORCID,Qian Yurong⁴^ORCID,Al-Nabhan Najla⁵^ORCID

Affiliation:

1. School of Software, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China

2. School of Computer Science, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China

3. School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China

4. Xinjiang University, Urumqi, China

5. Department of Computer Science, King Saud University, Riyadh, Saudi Arabia

Funder

National Key Research and Development Program of China International Technology Cooperation Project

National Natural Science Foundation of China

Jiangsu Provincial Graduate Research and Practical Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

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