Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning-Reference-Cited by-同舟云学术

Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Guo Jun¹,Chen Yonghong²,Hao Yihang²,Yin Zixin¹,Yu Yin³,Li Simin¹

Affiliation:

1. Beihang University,State Key Lab of Software Development Environment,Beijing,China

2. Yangzhou Collaborative Innovation Research Institute CO., LTD

3. No. 38 Research Institute of CETC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857346.pdf?arnumber=9857346

Reference42 articles.

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5. Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning;rashid;International Conference on Machine Learning,2018

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