Policy Iteration Q-Learning for Data-Based Two-Player Zero-Sum Game of Linear Discrete-Time Systems-Reference-Cited by-同舟云学术

Policy Iteration Q-Learning for Data-Based Two-Player Zero-Sum Game of Linear Discrete-Time Systems

Published:2021-07 Issue:7 Volume:51 Page:3630-3640
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Luo Biao^ORCID,Yang Yin,Liu Derong^ORCID

Funder

National Natural Science Foundation of China

Innovation-Driven Project of Central South University

National Priority Research Program (NPRP) from the Qatar National Research Fund

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/ielx7/6221036/9463682/09005399.pdf?arnumber=9005399

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