Distributed Multi-agent Reinforcement Learning and Its Application to Robot Soccer
Distributed Multi-agent Reinforcement Learning and Its Application to Robot Soccer
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DOI：
10.1109/ettandgrs.2008.328
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发表时间：
2008-12
期刊：
影响因子：
--
通讯作者：
Bo Fan;J. Pu
中科院分区：
文献类型：
--
作者：
Bo Fan;J. Pu
Cooperation learning is one main part of research on multi-agent system. Based on distributed reinforcement learning, a method of multi-agent coordination is proposed. By means of this method, at first a global complicated task is decomposed, and then the central reinforcement learning is adopted to coordinate and assign subtasks, and the individual reinforcement is adopted to choose the effective action. With the application and experiment in robot soccer simulation game, this method has better performance than the conventional reinforcement learning.
