Portfolio-based planning: State of the art, common practice and open challenges

Author:

Vallati Mauro1,Chrpa Lukáš1,Kitchin Diane1

Affiliation:

1. School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire, HD1 3DH, UK. E-mails: m.vallati@hud.ac.uk, l.chrpa@hud.ac.uk, d.kitchin@hud.ac.uk

Publisher

IOS Press

Subject

Artificial Intelligence

Reference62 articles.

1. [1]C. Areces, F. Bustos, M. Dominguez and J. Hoffmann, Optimizing planning domains by automatic action schema splitting, in: Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, ICAPS, 2014.

2. Finite-time analysis of the multiarmed bandit problem;Auer;Machine Learning,2002

3. Complexity results for SAS+ planning;Bäckström;Computational Intelligence,1993

4. [4]I. Cenamor, T. de la Rosa and F. Fernández, Learning predictive models to configure planning portfolios, in: Proceedings of the 4th Workshop on Planning and Learning (ICAPS-PAL 2013), 2013, pp. 14–22.

5. [5]I. Cenamor, T. de la Rosa and F. Fernández, IBaCoP and IBaCoP2 planner, in: The Eighth International Planning Competition. Description of Participant Planners of the Deterministic Track, 2014.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Algorithm selection for SMT;International Journal on Software Tools for Technology Transfer;2023-02-15

2. MachSMT: A Machine Learning-based Algorithm Selector for SMT Solvers;Tools and Algorithms for the Construction and Analysis of Systems;2021

3. What you always wanted to know about the deterministic part of the International Planning Competition (IPC) 2014 (but were too afraid to ask);The Knowledge Engineering Review;2018

4. On the impact of configuration on abstract argumentation automated reasoning;International Journal of Approximate Reasoning;2018-01

5. On the Configuration of Robust Static Parallel Portfolios for Efficient Plan Generation;Lecture Notes in Computer Science;2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3