Landmark Generation in HTN Planning
نویسندگان
چکیده
Landmarks (LMs) are state features that need to be made true or tasks contained in every solution of a planning problem. They valuable source information and can exploited various ways. LMs have been used both classical hierarchical planning, but while there is much work the techniques less evolved. We introduce novel LM generation method for Hierarchical Task Network (HTN) show it sound incomplete. complete approach as hard co-class underlying HTN problem, i.e. coNP-hard our setting (while P). On widely benchmark set, finds more than twice number landmarks from literature. Though focus on generation, we newly discovered bear beneficial solvers.
منابع مشابه
Course Generation Based on HTN Planning
A course generator automatically assembles learning objects retrieved from one or several repositories to a greater unit. Different frameworks for course generation exists, but only a few allow the representation of sophisticated pedagogical knowledge. In this paper, we describe course generation based on pedagogical tasks and methods, formalized in a hierarchical task network (HTN) planner. We...
متن کاملPedagogically founded courseware generation based on HTN-planning
Course generation enables the automatic assembly of course(ware) adapted to the learner’s competencies and learning goals. It offers a middle way between traditional pre-authored “one-size fits all” courseware and manual resource look-up. Such an assembly requires pedagogical knowledge, represented, for instance, as expert system rules or planning operators. In this article, we describe the cou...
متن کاملUtility-Based HTN Planning
We propose the use of HTN planning for risk-sensitive planning domains. We suggest utility functions that reflect the risk attitude of compound tasks, and adapt a best-first search algorithm to take such utilities into account.
متن کاملHTN Planning with Preferences
In this paper we address the problem of generating preferred plans by combining the procedural control knowledge specified by Hierarchical Task Networks (HTNs) with rich user preferences. To this end, we extend the popular Planning Domain Definition Language, PDDL3, to support specification of simple and temporally extended preferences over HTN constructs. To compute preferred HTN plans, we pro...
متن کاملHTN Planning: Complexity and Expressivity
Most practical work on AI planning systems during the last fifteen years has been based on hierarchical task network (HTN) d ecomposition, but until now, there has been very little analytical work on the properties of HTN planners. This paper describes how the complexity of HTN planning varies with various conditions on the task networks. networks are required to be totally ordered, and (3) whe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2021
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v35i13.17405