Multi-Agent Local Information Reconstruction for Situational Cognition

Author:

Wu Shiguang1,Pu Zhiqiang1,Zhang Tianle1,Qiu Tenghai1,Yi Jianqiang1

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences,Beijing,China,100190

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Reference25 articles.

1. Actor-attention-critic for multi-agent reinforcement learning;iqbal;International Conference on Machine Learning,2019

2. Dop: Off-policy multi-agent decomposed policy gradients;wang;International Conference on Learning Representations,0

3. Roma: Multi-agent reinforcement learning with emergent roles;wang;International Conference on Machine Learning,2020

4. Rode: Learning roles to decompose multi-agent tasks;wang;International Conference on Learning Representations,0

5. Linda: Multi-agent local information decomposition for awareness of teammates;cao;ArXiv Preprint,2021

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