Multi-attribute decision-making in wargames leveraging the Entropy-Weight method in conjunction with deep reinforcement learning-Reference-Cited by-同舟云学术

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Multi-attribute decision-making in wargames leveraging the Entropy-Weight method in conjunction with deep reinforcement learning

Published:2023 Issue: Volume: Page:1-12
ISSN:2475-1502
Container-title:IEEE Transactions on Games
language:
Short-container-title:IEEE Trans. Games

Author:

Xue Yufan¹^ORCID,Sun Yuxiang¹^ORCID,Zhou Jiawei¹,Peng Lisha¹,Zhou Xianzhong¹^ORCID

Affiliation:

1. School of Management and Engineering, Nanjing University, Nanjing, China

Funder

National Natural Science Foundation of China

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/ielx7/7782673/8116623/10015104.pdf?arnumber=10015104

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intuitionistic Fuzzy MADM in Wargame Leveraging With Deep Reinforcement Learning;IEEE Transactions on Fuzzy Systems;2024-09

2. Distributed Bee Actor-Critic Algorithm: An Approach for Intelligent Wargaming;Lecture Notes in Electrical Engineering;2024

3. Research on Target Threat Assessment in Wargaming Using the Adversarial Interpretive Structure Modeling Method;Lecture Notes in Electrical Engineering;2024

4. Transformer-Based Situational Awareness Network for War Gaming;2024

5. Curiosity-tuned experience replay for wargaming decision modeling without reward-engineering;Simulation Modelling Practice and Theory;2023-12

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