%0 Journal Article
%T Research of Learning-based Planning Techniques<br>基于学习的规划技术研究
%A CHEN Ai-xiang
%A JIANG Yun-fei
%A HU Gui-wu
%A CHAI Xiao-long
%A BIAN Rui
%A <br>陈蔼祥
%A 姜云飞
%A 胡桂武
%A 柴啸龙
%A 边芮
%J 计算机科学
%D 2011
%I 
%X After nearly 10 years of effort, the mordern smart planner, whether its efficiency or processing capacity, all have been greatly enhanced. Subject to the limitations of current planning theory, to further enhance the efficiency of existing planning techniques under current framework has become more difficult Existing planners have not to learn ability, most of them, can not learn from previous experience, useful knowledge to solve. In this paper, we first review the development of planning techniques to learn, and then focused on learning techniques used on the best learning-based planner among international planning competition, concluded the main problems and challenges in current learning technology research of planning.
%K Intelligent planning
%K Learning-based planning technicaues
%K Smart planner<br>智能规划，基于学习的规划技术，规划器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=914B288FF6E6B6FBD5782AA359B29F9C&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=CA4FD0336C81A37A&sid=23CCDDCD68FFCC2F&eid=2A8D03AD8076A2E3&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=22