The Fast Downward Planning System

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The Fast Downward Planning System

Fast Downward is a classical planning system based on heuristic search. It can deal with general deterministic planning problems encoded in the propositional fragment of PDDL2.2, including advanced features like ADL conditions and effects and derived predicates (axioms). Like other well-known planners such as HSP and FF, Fast Downward is a progression planner, searching the space of world state...

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Fast Downward SMAC

Fast Downward SMAC uses the SMAC algorithm configurator (Hutter, Hoos, and Leyton-Brown 2011) to find a single configuration of Fast Downward (Helmert 2006) for a given planning domain. It closely follows the methodology used by Fawcett et al. (2011), but employs the newer modelbased algorithm configurator SMAC instead of ParamILS (Hutter et al. 2009) to optimize Fast Downward for each domain o...

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Cedalion is our algorithm for automatically configuring sequential planning portfolios. Given a parametrized planner and a set of training instances, it iteratively selects the pair of planner configuration and time slice that improves the current portfolio the most per time spent. At the end of each iteration all instances for which the current portfolio finds the best solution are removed fro...

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Fast Downward Stone Soup is a sequential portfolio planner that uses various heuristics and search algorithms that have been implemented in the Fast Downward planning system. We present a simple general method for concocting “planner soups”, sequential portfolios of planning algorithms, and describe the actual recipes used for Fast Downward Stone Soup in the sequential optimization and sequenti...

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ژورنال

عنوان ژورنال: Journal of Artificial Intelligence Research

سال: 2006

ISSN: 1076-9757

DOI: 10.1613/jair.1705