Research on Explainability Methods for Unmanned Combat Decision-Making Models-Reference-Cited by-同舟云学术

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Research on Explainability Methods for Unmanned Combat Decision-Making Models

Published:2024 Issue: Volume:12 Page:83502-83512
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chen Wenlin¹^ORCID,Wang Shuai²,Jiang Chong³,Wang Siyu³^ORCID,Hao Lina³^ORCID

Affiliation:

1. College of Resource and Civil Engineering, Northeastern University, Shenyang, China

2. China Electronics Technology Group Corporation Fifty-Fourth Research Institute, Shijiazhuang, Hebei, China

3. School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10547211.pdf?arnumber=10547211

Reference26 articles.

1. Human-level control through deep reinforcement learning

2. Intelligent decision-making technology for combat simulation deduction based on SAC algorithm;Wang;China Ship Res.,2021

3. Research on command decision-making for submarine attack and defense training based on deep reinforcement learning;Guo;Command Control Simul.,2022

4. Research on decision-making in air combat game based on deep reinforcement learning;Ma,2021

5. Research progress on explainability of deep learning models;Hua;J. Inf. Secur.,2020

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