CASIA OpenIR  > 复杂系统认知与决策实验室  > 决策指挥与体系智能
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu1,2; Dapeng Li1,2; Bin Zhang1,2; Yuan Zhan1,2; Yunpeng Bai1,2; Guoliang Fan1,2
2022
Conference NameAdvances in Neural Information Processing Systems
Conference DateNovember 28 - December 9, 2022
Conference PlaceNew Orleans, LA, USA,
Abstract

Recently, model-based agents have achieved better performance than model-free ones using the same computational budget and training time in single-agent environments. However, due to the complexity of multi-agent systems, it is tough to learn the model of the environment. The significant compounding error may hinder the learning process when model-based methods are applied to multi-agent tasks. This paper proposes an implicit model-based multi-agent reinforcement learning method based on value decomposition methods. Under this method, agents can interact with the learned virtual environment and evaluate the current state value according to imagined future states in the latent space, making agents have the foresight. Our approach can be applied to any multi-agent value decomposition method. The experimental results show that our method improves the sample efficiency in different partially observable Markov decision process domains.

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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
Paper associated data
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/56525
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,Dapeng Li,Bin Zhang,et al. Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning[C],2022.
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