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» Reviving Partial Order Planning
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AIPS
2000
13 years 8 months ago
New Results about LCGP, a Least Committed GraphPlan
Planners from the family of Graphplan (Graphplan, IPP, STAN...) are presently considered as the most efficient ones on numerous planning domains. Their partially ordered plans can...
Michel Cayrol, Pierre Régnier, Vincent Vida...
CORR
1998
Springer
135views Education» more  CORR 1998»
13 years 6 months ago
The Computational Complexity of Probabilistic Planning
We examine the computational complexity of testing and nding small plans in probabilistic planning domains with both at and propositional representations. The complexity of plan e...
Michael L. Littman, Judy Goldsmith, Martin Mundhen...
AI
2000
Springer
13 years 11 months ago
Learning Rewrite Rules versus Search Control Rules to Improve Plan Quality
Domain independent planners can produce better-quality plans through the use of domain-speci c knowledge, typically encoded as search control rules. The planning-by-rewriting appro...
Muhammad Afzal Upal, Renee Elio
IJCAI
1989
13 years 8 months ago
Towards a Theory of Conflict Detection and Resolution in Nonlinear Plans
This paper deals with a well known problem in AI planning: detecting and resolving conflicts in nonlinear plans. We sketch a theory of restricted conflict detection and resolution...
Joachim Hertzberg, Alexander Horz
CDC
2009
IEEE
148views Control Systems» more  CDC 2009»
13 years 10 months ago
An adaptive artificial potential function approach for geometric sensing
In this paper, a novel artificial potential function is proposed for planning the path of a robotic sensor in a partially observed environment containing multiple obstacles and mul...
Guoxian Zhang, Silvia Ferrari