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ICML
1996
IEEE
14 years 10 months ago
Representing and Learning Quality-Improving Search Control Knowledge
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
M. Alicia Pérez
AIPS
2006
13 years 11 months ago
Durative Planning in HTNs
This paper provides techniques for hierarchical task network (HTN) planning with durative actions. HTNs can provide useful heuristic guidance to planners, express goals that canno...
Robert P. Goldman
AIPS
2008
14 years 4 days ago
A Probabilistic Planner for the Combat Power Management Problem
We present a planner for the Combat Power Management (CPM) problem. In response to multiple simultaneous or sequential threats, the planner generates a set of local plans, one for...
Abder Rezak Benaskeur, Froduald Kabanza, Eric Beau...
AIPS
2010
14 years 4 days ago
Action Elimination and Plan Neighborhood Graph Search: Two Algorithms for Plan Improvement
Compared to optimal planners, satisficing planners can solve much harder problems but may produce overly costly and long plans. Plan quality for satisficing planners has become in...
Hootan Nakhost, Martin Müller 0003
AI
2000
Springer
14 years 2 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