CASIA OpenIR  > 复杂系统认知与决策实验室  > 决策指挥与体系智能
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Zhiwei Xu1,2; Yunpeng Bai1,2; Bin Zhang1,2; Dapeng Li1,2; Guoliang Fan1,2
2023
Conference NameThirty-Seventh AAAI Conference on Artificial Intelligence(AAAI)
Pages11735-11743
Conference DateFebruary 7-14, 2023
Conference PlaceWashington, DC, USA
Abstract

Recently, some challenging tasks in multi-agent systems have been solved by some hierarchical reinforcement learning methods. Inspired by the intra-level and inter-level coordination in the human nervous system, we propose a novel value decomposition framework HAVEN based on hierarchical reinforcement learning for fully cooperative multi-agent problems. To address the instability arising from the concurrent optimization of policies between various levels and agents, we introduce the dual coordination mechanism of inter-level and inter-agent strategies by designing reward functions in a two-level hierarchy. HAVEN does not require domain knowledge and pre-training, and can be applied to any value decomposition variant. Our method achieves desirable results on different decentralized partially observable Markov decision process domains and outperforms other popular multi-agent hierarchical reinforcement learning algorithms.

DOI10.1609/AAAI.V37I10.26386
URL查看原文
Indexed ByEI
Language英语
IS Representative Paper
Sub direction classification多智能体系统
planning direction of the national heavy laboratory多智能体决策
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Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/56527
Collection复杂系统认知与决策实验室_决策指挥与体系智能
Corresponding AuthorGuoliang Fan
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.School of Artificial Intelligence, University of Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhiwei Xu,Yunpeng Bai,Bin Zhang,et al. HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism[C],2023:11735-11743.
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