A Target-coupled Multiagent Reinforcement Learning Approach for Teams of Mobile Sensing Robots

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	A Target-coupled Multiagent Reinforcement Learning Approach for Teams of Mobile Sensing Robots
	Wang X(王鑫)1,4,5; Zang CZ(臧传治)1,2,4,5; Xu SQ(许书卿)1,3,4,5; Zeng P(曾鹏)1,4,5
	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)
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
内容类型	会议论文
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.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Shenyang University of Technology, Shenyang 110870, China 3.University of Chinese Academy of Sciences, Beijing 100049, China 4.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China 5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, 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.