Web: http://arxiv.org/abs/2206.11054

June 23, 2022, 1:10 a.m. | Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu

cs.LG updates on arXiv.org arxiv.org

Collaborative multi-agent reinforcement learning (MARL) has been widely used
in many practical applications, where each agent makes a decision based on its
own observation. Most mainstream methods treat each local observation as an
entirety when modeling the decentralized local utility functions. However, they
ignore the fact that local observation information can be further divided into
several entities, and only part of the entities is helpful to model inference.
Moreover, the importance of different entities may change over time. To improve …

arxiv deep learning lg reinforcement reinforcement learning

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