%0 Journal Article
%T Several New Advances of Logical Markov Decision Processes and Relational Markov Decision Processes<br>逻辑马尔可夫决策编程和关系马尔可夫决策编程若干最新进展
%A WANG Zhen-Zhen
%A XING Han-Cheng
%A ZHANG Zhi-Zheng
%A NI Qing-Jian
%A <br>王蓁蓁
%A 邢汉承
%A 张志政
%A 倪庆剑
%J 计算机科学
%D 2007
%I 
%X Using logical Markov decision processes (LDMDPs) and relational Markov decision processes (RMDPs) one can compactly and declaratively represent complex Markov decision processes.This paper firstly introduces central con- cepts of LOMDPs and RMDPs.Then several algorithms that are different from regular Markov decision processes are reviewed:1.The transition method relying on ground state space.2.A relational upgrade of the Bellman update oper- ation.3.Approximate policy iteration using policy bias space.Finally,the paper gives conclusions of recent work and suggests future work.In this way,people are able to get an intensive,comprehensive and in-depth understanding of LOMDPs and RMDPs.
%K Logical Markov decision processes
%K Relational Markov decision processes<br>逻辑马尔可夫决策过程
%K 关系马尔可夫决策过程
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=9670022A67278BB1&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=F3090AE9B60B7ED1&sid=CA4FD0336C81A37A&eid=DF92D298D3FF1E6E&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=6