MAPPING CONTINGENT PLANNING INTO MULTI-VALUED PLANNING
Contingent planning involves generating plans in uncertainty environment under partial observability. However, traditional contingent planning problems, described by propositional logic, suffer from many problems. For example, the belief state space is too large. In this paper, we introduce a novel approach that can map propositional contingent planning tasks into Multi-valued contingent planning task (MCPT). Experimental results have shown that our approach is sound and efficient.
Contingent plan Multi-valued contingent planning task (MCPT) Sensing action
XIAN-YI LIU MING-HAO YIN JIA-NAN WANG
College of Computer Science, Northeast Normal University, Changchun, China Network Information Center, Northeast Normal University, Changchun, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
2026-2031
2008-07-12(万方平台首次上网日期,不代表论文的发表时间)