Empirical Policy Optimization for $n$-Player Markov Games-Reference-Cited by-同舟云学术

Empirical Policy Optimization for $n$-Player Markov Games

Published:2022 Issue: Volume: Page:1-13
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Zhu Yuanheng¹^ORCID,Li Weifan¹,Zhao Mengchen²,Hao Jianye²,Zhao Dongbin¹^ORCID

Affiliation:

1. Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China

2. Noah’s Ark Laboratory, Huawei, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Strategic Priority Research Program of Chinese Academy of Sciences

Youth Innovation Promotion Association of the Chinese Academy of Sciences

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/ielx7/6221036/6352949/09806433.pdf?arnumber=9806433

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