Knowledge Commons of Institute of Automation,CAS
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning | |
Zhiwei Xu1,2![]() ![]() ![]() ![]() ![]() | |
2022 | |
会议名称 | Advances in Neural Information Processing Systems |
会议日期 | November 28 - December 9, 2022 |
会议地点 | New Orleans, LA, USA, |
摘要 | 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. |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 多智能体系统 |
国重实验室规划方向分类 | 多智能体决策 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56525 |
专题 | 复杂系统认知与决策实验室_决策指挥与体系智能 |
通讯作者 | Guoliang Fan |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Mingling Foresight w(4367KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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