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AAAI
2010
13 years 9 months ago
To Max or Not to Max: Online Learning for Speeding Up Optimal Planning
It is well known that there cannot be a single "best" heuristic for optimal planning in general. One way of overcoming this is by combining admissible heuristics (e.g. b...
Carmel Domshlak, Erez Karpas, Shaul Markovitch
AIPS
2009
13 years 8 months ago
Using Distance Estimates in Heuristic Search
This paper explores the use of an oft-ignored information source in heuristic search: a search-distance-to-go estimate. Operators frequently have different costs and cost-to-go is...
Jordan Tyler Thayer, Wheeler Ruml
KI
2009
Springer
14 years 2 months ago
Planning with h +  in Theory and Practice
Abstract. Many heuristic estimators for classical planning are based on the socalled delete relaxation, which ignores negative effects of planning operators. Ideally, such heuristi...
Christoph Betz, Malte Helmert
CAEPIA
2007
Springer
14 years 1 months ago
Heuristics for Planning with Action Costs
We introduce a non-admissible heuristic for planning with action costs, called the set-additive heuristic, that combines the benefits of the additive heuristic used in the HSP pla...
Emil Keyder, Hector Geffner
IJCAI
2007
13 years 9 months ago
Using Learned Policies in Heuristic-Search Planning
Many current state-of-the-art planners rely on forward heuristic search. The success of such search typically depends on heuristic distance-to-the-goal estimates derived from the ...
Sung Wook Yoon, Alan Fern, Robert Givan