%0 Journal Article
%T Reinforcement Learning Cntrol with Associative Memory<br>联想记忆的自强式学习控制
%A Xu Li
%A Jiang Jingping
%A Zhu Jing
%A Zhu Yanxin
%A <br>许力
%A 蒋静平
%A 诸静
%A 朱炎新
%J 自动化学报
%D 1996
%I 
%X The supervised learning local nets are employed in the ASE/ACE model as the associative memory to construct a novel reinforcement learning controller model called RELCAM, simulation results show that the learning ability and control performance can be improved by using this model.
%K Reinforcement learning
%K associative memory
%K ASE/ACE model
%K RELCAM model<br>自强式学习
%K 联想记忆
%K 学习控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=D42F5571C48F681DFC45D9E3A6207227&yid=8A15F8B0AA0E5323&vid=BC12EA701C895178&iid=CA4FD0336C81A37A&sid=D767283A3B658885&eid=4DB1E72614E68564&journal_id=0254-4156&journal_name=自动化学报&referenced_num=2&reference_num=3