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| * ''randomized_order'' (bool): If true, use a 'globally'' randomized order, i.e. all transition systems are considered in an arbitrary order. This renders all other ordering options void. | * ''randomized_order'' (bool): If true, use a 'globally' randomized order, i.e. all transition systems are considered in an arbitrary order. This renders all other ordering options void. |
This page describes the various merge strategies supported by the planner.
Merge strategy DFP
This merge strategy implements the algorithm originally described in the paper "Directed model checking with distance-preserving abstractions" by Draeger, Finkbeiner and Podelski (SPIN 2006), adapted to planning in the following paper:
Silvan Sievers, Martin Wehrle and Malte Helmert.
Generalized Label Reduction for Merge-and-Shrink Heuristics.
In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI 2014), pp. 2358-2366. AAAI Press 2014.
merge_dfp(atomic_ts_order=regular, product_ts_order=new_to_old, atomic_before_product=false, randomized_order=false, random_seed=-1)
atomic_ts_order ({regular, inverse, random}): The order in which atomic transition systems are considered when considering pairs of potential merges.
regular: the variable order of Fast Downward
inverse: opposite of regular
random: a randomized order
product_ts_order ({old_to_new, new_to_old, random}): The order in which product transition systems are considered when considering pairs of potential merges.
old_to_new: consider composite transition systems from most recent to oldest, that is in decreasing index order
new_to_old: opposite of old_to_new
random: a randomized order
atomic_before_product (bool): Consider atomic transition systems before composite ones iff true.
randomized_order (bool): If true, use a 'globally' randomized order, i.e. all transition systems are considered in an arbitrary order. This renders all other ordering options void.
random_seed (int [-1, infinity]): Set to -1 (default) to use the global random number generator. Set to any other value to use a local random number generator with the given seed.
Linear merge strategies
This merge strategy implements several linear merge orders, which are described in the paper:
Malte Helmert, Patrik Haslum and Joerg Hoffmann.
Flexible Abstraction Heuristics for Optimal Sequential Planning.
In Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling (ICAPS 2007), pp. 176-183. 2007.
merge_linear(variable_order=CG_GOAL_LEVEL)
variable_order ({CG_GOAL_LEVEL, CG_GOAL_RANDOM, GOAL_CG_LEVEL, RANDOM, LEVEL, REVERSE_LEVEL}): the order in which atomic transition systems are merged