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» Heuristics for Planning with Action Costs
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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
AI
2007
Springer
13 years 7 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
AI
2008
Springer
13 years 7 months ago
An approach to efficient planning with numerical fluents and multi-criteria plan quality
Dealing with numerical information is practically important in many real-world planning domains where the executability of an action can depend on certain numerical conditions, an...
Alfonso Gerevini, Alessandro Saetti, Ivan Serina
ECP
1997
Springer
68views Robotics» more  ECP 1997»
13 years 11 months ago
Ignoring Irrelevant Facts and Operators in Plan Generation
It is traditional wisdom that one should start from the goals when generating a plan in order to focus the plan generation process on potentially relevant actions. The graphplan sy...
Bernhard Nebel, Yannis Dimopoulos, Jana Koehler
AAAI
2008
13 years 9 months ago
Optimal Metric Planning with State Sets in Automata Representation
This paper proposes an optimal approach to infinite-state action planning exploiting automata theory. State sets and actions are characterized by Presburger formulas and represent...
Björn Ulrich Borowsky, Stefan Edelkamp