中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new accelerating algorithm for multi-agent reinforcement learning

文献类型:期刊论文

作者Zhang RB(张汝波); Zhong Y(仲宇); Gu GC(顾国昌)
刊名Journal of Harbin Institute of Technology
出版日期2005
卷号12期号:1页码:48-51
关键词distributed reinforcement learning accelerating algorithm machine learning multi-agent system
ISSN号1005-9113
产权排序2
中文摘要In multi-agent systems, joint-action must be employed to achieve cooperation because the evaluation of the behavior of an agent often depends on the other agents' behaviors. However, joint -action reinforcement learning algorithms suffer the slow convergence rate because of the enormous learning space produced by jointaction. In this article, a prediction-based reinforcement learning algorithm is presented for multi-agent cooperation tasks, which demands all agents to learn predicting the probabilities of actions that other agents may execute. A multi-robot cooperation experiment is run to test the efficacy of the new algorithm, and the experiment results show that the new algorithm can achieve the cooperation policy much faster than the primitive reinforcement learning algorithm.
收录类别EI
资助信息SponsoredbyRobotics Laboratory;; Shenyang Institute of Automation;; Chinese Academy of Sciences Foundation(GrantNo. RL200106).
语种英语
公开日期2012-05-29
源URL[http://ir.sia.cn/handle/173321/7280]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Zhang RB,Zhong Y,Gu GC. A new accelerating algorithm for multi-agent reinforcement learning[J]. Journal of Harbin Institute of Technology,2005,12(1):48-51.
APA Zhang RB,Zhong Y,&Gu GC.(2005).A new accelerating algorithm for multi-agent reinforcement learning.Journal of Harbin Institute of Technology,12(1),48-51.
MLA Zhang RB,et al."A new accelerating algorithm for multi-agent reinforcement learning".Journal of Harbin Institute of Technology 12.1(2005):48-51.

入库方式: OAI收割

来源:沈阳自动化研究所

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