A Survey of the Seventh International Planning Competition

被引:43
作者
Coles, Amanda [1 ]
Coles, Andrew [1 ]
Garcia Olaya, Angel [2 ]
Jimenez, Sergio [2 ]
Linares Lopez, Carlos [2 ]
Sanner, Scott [3 ]
Yoon, Sungwook [4 ]
机构
[1] Kings Coll London, Dept Informat, London, England
[2] Univ Carlos III Madrid, PLG, E-28903 Getafe, Spain
[3] Australian Natl Univ, Canberra, ACT 0200, Australia
[4] Palo Alto Res Ctr, Palo Alto, CA USA
基金
澳大利亚研究理事会;
关键词
D O I
10.1609/aimag.v33i1.2392
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this article we review the 2011 International Planning Competition. We give an. overview of the history of the competition, discussing how it has developed since its first edition in 1998. The 2011 competition was run in three main separate tracks: the deterministic (classical) track; the learning track; and the uncertainty track. Each track proposed its own distinct set of new challenges and the participants rose to these admirably, the results of each track showing promising progress in each area. The competition attracted a record number of participants this year, showing its continued and strong position as a major central pillar of the international planning research community.
引用
收藏
页码:83 / 88
页数:6
相关论文
共 18 条
  • [1] [Anonymous], 2005, Plan constraints and preferences in pddl3
  • [2] LEARNING TO ACT USING REAL-TIME DYNAMIC-PROGRAMMING
    BARTO, AG
    BRADTKE, SJ
    SINGH, SP
    [J]. ARTIFICIAL INTELLIGENCE, 1995, 72 (1-2) : 81 - 138
  • [3] Cushing W, 2007, 20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, P1852
  • [4] The first learning track of the international planning competition
    Fern, Alan
    Khardon, Roni
    Tadepalli, Prasad
    [J]. MACHINE LEARNING, 2011, 84 (1-2) : 81 - 107
  • [5] PDDL2.1: An extension to PDDL for expressing temporal planning domains
    Fox, M
    Long, D
    [J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2003, 20 : 61 - 124
  • [6] Deterministic planning in the fifth international planning competition: PDDL3 and experimental evaluation of the planners
    Gerevini, Alfonso E.
    Haslum, Patrik
    Long, Derek
    Saetti, Alessandro
    Dimopoulos, Yannis
    [J]. ARTIFICIAL INTELLIGENCE, 2009, 173 (5-6) : 619 - 668
  • [7] The deterministic part of IPC-4: An overview
    Hoffmann, J
    Edelkamp, S
    [J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2005, 24 : 519 - 579
  • [8] Howey R, 2004, PROC INT C TOOLS ART, P294
  • [9] Bandit based Monte-Carlo planning
    Kocsis, Levente
    Szepesvari, Csaba
    [J]. MACHINE LEARNING: ECML 2006, PROCEEDINGS, 2006, 4212 : 282 - 293
  • [10] Kurniawati H., 2008, P ROB SCI SYST