计算机工程与应用2018，Vol.54Issue(2)：29-39,11.DOI:10.3778/j.issn.1002-8331.1709-0450
部分观测环境下的时态动作模型学习方法
摘要
Abstract
There exist several successful action model learning methods for instaneous actions with certain or uncertain effects.However,few of them consider the temporal relationships underlying domain models for more realistic environ-ments.The paper proposes a method for the automatically learning of temporal action model in the settings of partially observable environment.The general form of a duration's expression is learnt by a two-stage linear regression method. The temporal relationships among preconditions,effects and operators are constructed by analysis on propositions'time-stamps in plan traces. Experiments on the temporal planning benchmarks from the International Planning Competition (IPC)are carried out and the results show that the method is effective.关键词
智能规划/动作模型学习/时态关系/线性回归/领域建模/知识获取Key words
automated planning/action model learning/temporal relation/linear regression/domain modeling/knowl-edge acquisition分类
信息技术与安全科学引用本文复制引用
刘胜,赵彤洲,蔡敦波..部分观测环境下的时态动作模型学习方法[J].计算机工程与应用,2018,54(2):29-39,11.基金项目
国家自然科学基金(No.61103136) （No.61103136）
武汉工程大学研究生教育创新基金(No.CX2016061). （No.CX2016061）
