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» Hierarchical Heuristic Forward Search in Stochastic Domains
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AAAI
2008
13 years 8 months ago
Planning with Problems Requiring Temporal Coordination
We present the first planner capable of reasoning with both the full semantics of PDDL2.1 (level 3) temporal planning and with numeric resources. Our planner, CRIKEY3, employs heu...
Andrew Coles, Maria Fox, Derek Long, Amanda Smith
AAAI
1997
13 years 7 months ago
Evidence for Invariants in Local Search
It is well known that the performance of a stochastic local search procedure depends upon the setting of its noise parameter, and that the optimal setting varies with the problem ...
David A. McAllester, Bart Selman, Henry A. Kautz
JAIR
2010
167views more  JAIR 2010»
13 years 4 months ago
The LAMA Planner: Guiding Cost-Based Anytime Planning with Landmarks
LAMA is a classical planning system based on heuristic forward search. Its core feature is the use of a pseudo-heuristic derived from landmarks, propositional formulas that must b...
Silvia Richter, Matthias Westphal
ACSC
2003
IEEE
13 years 11 months ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...
IJCAI
2003
13 years 7 months ago
A lookahead strategy for solving large planning problems
Relaxed plans are used in the heuristic search planner FF for computing a numerical heuristic and extracting helpful actions. We present a novel way for extracting information fro...
Vincent Vidal