Multiagent Inverse Reinforcement Learning for Two-Person Zero-Sum Games-Reference-Cited by-同舟云学术

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Multiagent Inverse Reinforcement Learning for Two-Person Zero-Sum Games

Published:2018-03 Issue:1 Volume:10 Page:56-68
ISSN:2475-1502
Container-title:IEEE Transactions on Games
language:
Short-container-title:IEEE Trans. Games

Author:

Lin Xiaomin^ORCID,Beling Peter A.,Cogill Randy

Funder

Science Applications International Corporation through the Research Scholars Fellowship Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/7782673/8318012/07873274.pdf?arnumber=7873274

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3. Zero-sum game for nonlinear multiagent systems with full-state constraints;ASIAN J CONTROL;2024

4. Game-based Adaptive Fuzzy Optimal Bipartite Containment of Nonlinear Multi-agent Systems;IEEE Transactions on Fuzzy Systems;2024

5. Inverse Reinforcement Learning Methods for Linear Differential Games;2024

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