Conference Proceedings

Purely Declarative Action Representations are Overrated: Classical Planning with Simulators

Guillem Frances, Miquel Ram irez, Nir Lipovetzky, Hector Geffner

International Joint Conference in Artificial Intelligence (IJCAI) | International Joint Conferences on Artificial Intelligence | Published : 2017

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Abstract

Classical planning is concerned with problems where a goal needs to be reached from a known initial state by doing actions with deterministic, known effects. Classical planners, however, deal only with classical problems that can be expressed in declarative planning languages such as STRIPS or PDDL. This prevents their use on problems that are not easy to model declaratively or whose dynamics are given via simulations. Simulators do not provide a declarative representation of actions, but simply return successor states. The question we address in this paper is: can a planner that has access to the structure of states and goals only, approach the performance of planners that also have access ..

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University of Melbourne Researchers

Grants

Funding Acknowledgements

G. Frances is supported by the M. de Maeztu Programme (MDM-2015-0502) and H. Geffner by grant TIN2015-67959-P, both from MINECO, Spain. M. Ramirez and N. Lipovetzky have been partially funded by the Australian DST Group.