A Target-coupled Multiagent Reinforcement Learning Approach for Teams of Mobile Sensing Robots
文献类型：会议论文
| 作者 | Wang X(王鑫)2,3,4; Zang CZ(臧传治)2,3,4,5 ; Xu SQ(许书卿)1,2,3,4; Zeng P(曾鹏)2,3,4
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| 出版日期 | 2021 |
| 会议日期 | November 8-11, 2021 |
| 会议地点 | Shenyang, China |
| 页码 | 1-6 |
| 英文摘要 | A mobile sensing robot team (MSRT) is a typical application of multiagent system, which faces the huge challenge of environment dynamism that the change of action selection of one robot may influence behaviors of the other robots. In this paper, we investigate reinforcement learning methods for MSRT problem. A target-coupled multiagent reinforcement learning approach is proposed to solve the MSRT problem by taking advantage of both the knowledge of each agent and the local environment information sensed by the agent for achieving a shared goal in a common environment. We show the strength of our approach compared to the existed decentralized Q-learning in MSRT problem, where sensing robots are able to meet targets coverage requirement by discovering a coordinated strategy. |
| 产权排序 | 1 |
| 会议录 | 2021 3rd International Conference on Industrial Artificial Intelligence (IAI)
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-6654-3517-8 |
| 源URL | [http://ir.sia.cn/handle/173321/29973]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Zang CZ(臧传治) |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 3.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China 4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 5.Shenyang University of Technology, Shenyang 110870, China |
| 推荐引用方式 GB/T 7714 | Wang X,Zang CZ,Xu SQ,et al. A Target-coupled Multiagent Reinforcement Learning Approach for Teams of Mobile Sensing Robots[C]. 见:. Shenyang, China. November 8-11, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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