期刊名称：Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS)
印刷版ISSN：1897-8649
电子版ISSN：2080-2145
出版年度：2007
卷号：28
页码：119-156
出版社：Industrial Research Inst. for Automation and Measurements, Warsaw
摘要：This paper describes Marvin, a planner that competed in the Fourth International
Planning Competition (IPC 4). Marvin uses action-sequence-memoisation techniques
to generate macro-actions, which are then used during search for a solution
plan. We provide an overview of its architecture and search behaviour, detailing
the algorithms used. We also empirically demonstrate the effectiveness of its
features in various planning domains; in particular, the effects on performance
due to the use of macro-actions, the novel features of its search behaviour, and
the native support of ADL and Derived Predicates
