WToE: Learning When to Explore in Multiagent Reinforcement Learning-Reference-Cited by-同舟云学术

WToE: Learning When to Explore in Multiagent Reinforcement Learning

Published:2023 Issue: Volume: Page:1-13
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Dong Shaokang¹^ORCID,Mao Hangyu²^ORCID,Yang Shangdong³,Zhu Shengyu⁴^ORCID,Li Wenbin¹^ORCID,Hao Jianye⁴^ORCID,Gao Yang¹^ORCID

Affiliation:

1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

2. Smart City Group, SenseTime Research, Beijing, China

3. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

4. Noah’s Ark Lab, Huawei Technologies, Beijing, China

Funder

National Natural Science Foundation of China

Science and Technology Innovation 2030 New Generation Artificial Intelligence Major Project

Natural Science Foundation of Jiangsu Province

Primary Research and Development Plan of Jiangsu Province

Shenzhen Fundamental Research Program

Research Fund of Guangxi Key Lab of Multi-Source Information Mining and Security

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/10324374.pdf?arnumber=10324374

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