Knowledge Commons of Institute of Automation,CAS
Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems | |
Zhang TL(张天乐)1,2; Liu Z(刘振)1,2; Pu ZQ(蒲志强)1,2; Yi JQ(易建强)1,2 | |
发表期刊 | IEEE Transactions on Emerging Topics in Computational Intelligence |
2023 | |
卷号 | 7期号:3页码:912-930 |
文章类型 | 研究性论文 |
摘要 | Recently, a lot of works have been devoted to re- searching how agents can learn efficient cooperation in multiagent systems. However, it still remains challenging in large-scale multi- agent systems (MASs) due to the complex dynamics between the agents and environment and the dimension explosion of state-action space. In this paper, we propose a novel MultiAgent Automatic Curriculum Learning method (MA-ACL) to solve learning prob- lems of large-scale cooperative MASs by beginning from learning on a multiagent scenario with a few agents and automatically progressively increasing the number of agents. An evaluation mech- anism based on self-supervised learning is innovatively designed to automatically generate appropriate curricula with a progressively increasing number of agents. Moreover, since the observation state dimension of agents varies across curricula and the learned policy knowledge needs to be effectively encoded, we design a new Dis- tributed Transferable Relation-modeling Policy network structure (DTRP) to handle the dynamic size of the network input and model relational knowledge between agents and their surrounding envi- ronment. Simulation results show that the proposed MA-ACL using DTRP can significantly improve the performance of large-scale multiagent learning compared with manual or non curriculum learning methods, and DTRP greatly boosts the performance of MA-ACL. |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000994632000021 |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 决策智能理论与方法 |
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 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/51873 |
专题 | 复杂系统认知与决策实验室_飞行器智能技术 |
通讯作者 | Liu Z(刘振) |
作者单位 | 1.中国科学院自动化研究所 2.中国科学院大学人工智能学院 |
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 | Zhang TL,Liu Z,Pu ZQ,et al. Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems[J]. IEEE Transactions on Emerging Topics in Computational Intelligence,2023,7(3):912-930. |
APA | Zhang TL,Liu Z,Pu ZQ,&Yi JQ.(2023).Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems.IEEE Transactions on Emerging Topics in Computational Intelligence,7(3),912-930. |
MLA | Zhang TL,et al."Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems".IEEE Transactions on Emerging Topics in Computational Intelligence 7.3(2023):912-930. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
2022-IEEE-TETCI.pdf(4728KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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