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» Learning Heuristic Functions from Relaxed Plans
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AIPS
2004
13 years 6 months ago
Conformant Planning via Heuristic Forward Search: A New Approach
Conformant planning is the task of generating plans given uncertainty about the initial state and action effects, and without any sensing capabilities during plan execution. The p...
Ronen I. Brafman, Jörg Hoffmann
AIPS
2004
13 years 6 months ago
A Lookahead Strategy for Heuristic Search Planning
The planning as heuristic search framework, initiated by the planners ASP from Bonet, Loerincs and Geffner, and HSP from Bonet and Geffner, lead to some of the most performant pla...
Vincent Vidal
FLAIRS
2007
13 years 7 months ago
Case-Based Recommendation of Node Ordering in Planning
Currently, among the fastest approaches to AI task planning we find many forward-chaining heuristic planners, as FF. Most of their good performance comes from the use of domain-i...
Tomás de la Rosa, Angel García Olaya...
ICCBR
2007
Springer
13 years 11 months ago
Using Cases Utility for Heuristic Planning Improvement
Current efficient planners employ an informed search guided by a heuristic function that is quite expensive to compute. Thus, ordering nodes in the search tree becomes a key issue,...
Tomás de la Rosa, Angel García Olaya...
KI
2009
Springer
13 years 12 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