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Clique-based cooperative multiagent reinforcement learning using factor graphs | |
Zhang,Zhen1; Zhao DB(赵冬斌)2 | |
发表期刊 | IEEE/CAA Journal of Automatica Sinica |
2015 | |
卷号 | 3期号:1页码:248-256 |
摘要 |
In this paper, we propose a clique-based sparse reinforcement learning (RL) algorithm for solving cooperative tasks. The aim is to accelerate the learning speed of the original sparse RL algorithm and to make it applicable for tasks decomposed in a more general manner. First, a transition function is estimated and used to update the Q-value function, which greatly reduces the learning time. Second, it is more reasonable to divide agents into cliques, each of which is only responsible for a specific subtask. In this way, the global Q-value function is decomposed into the sum of several simpler local Q-value functions. Such decomposition is expressed by a factor graph and exploited by the general maxplus algorithm to obtain the greedy joint action. Experimental results show that the proposed approach outperforms others with better performance. |
关键词 | Reinforcement Learning Factor Graphs |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/19321 |
专题 | 多模态人工智能系统全国重点实验室_深度强化学习 |
作者单位 | 1.Department of Electric Engineering, College of Automation Engineering, Qingdao University 2.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, China |
推荐引用方式 GB/T 7714 | Zhang,Zhen,Zhao DB. Clique-based cooperative multiagent reinforcement learning using factor graphs[J]. IEEE/CAA Journal of Automatica Sinica,2015,3(1):248-256. |
APA | Zhang,Zhen,&Zhao DB.(2015).Clique-based cooperative multiagent reinforcement learning using factor graphs.IEEE/CAA Journal of Automatica Sinica,3(1),248-256. |
MLA | Zhang,Zhen,et al."Clique-based cooperative multiagent reinforcement learning using factor graphs".IEEE/CAA Journal of Automatica Sinica 3.1(2015):248-256. |
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