STeLLa v2.0: Planning with intermediate goals

被引：0
|
作者：
Sebastia, L [1 ]
Onaindia, E [1 ]
Marzal, E [1 ]
机构：
[1] Univ Politecn Valencia, Dipartimento Sistemas Informat & Computac, E-46071 Valencia, Spain
来源：
ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2002, PROCEEDINGS | 2002年 / 2527卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the last few years, AI planning techniques have experimented a great advance. One of the reasons for this big expansion is the International Planning Competition (IPC), which enforces the definition of language standards as PDDL+ and new benchmarks. In this paper, we present the new features of STeLLa, a planner that participated in the last IPC, held in Toulouse last April. STeLLa is a forward search planner that builds intermediate goals to ease the resolution of the planning problem.
引用
收藏
页码：805 / 814
页数：10
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