In this work, we investigate the computation of optimal plans for delete-free tasks using relaxed decision diagrams. We introduce a new method to compute approximations of h+ in polynomial time on the width of the RDD and show that this approximation is a lower bound for the optimal solution. We analyze different strategies to construct decision diagrams and compare these approximations to h+
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
Recently, several methods have been proposed for optimal delete-free planning. We present an increme...
Heuristics based on the delete relaxation are at the forefront of modern domain-independent planning...
Heuristic functions based on the delete relaxation compute upper and lower bounds on the optimal del...
Heuristic functions based on the delete relaxation compute upper and lower bounds on the optimal del...
The automatic derivation of heuristic functions for guiding the search for plans is a fundamental te...
Optimal plans of delete-free planning tasks are interesting both in domains that have no delete effe...
AbstractThe automatic derivation of heuristic functions for guiding the search for plans is a fundam...
The currently dominant approach to domain-independent planning is planning as heuristic search, with...
Delete-free planning underlies many popular relaxation (h+) based heuristics used in state-of-the-ar...
International audienceHeuristics based on the delete relaxation are at the forefront of modern domai...
We establish a novel relation between delete-free planning, an important task for the AI planning co...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
Despite its success, the delete relaxation has significant pitfalls. Recent work has devised the red...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
Recently, several methods have been proposed for optimal delete-free planning. We present an increme...
Heuristics based on the delete relaxation are at the forefront of modern domain-independent planning...
Heuristic functions based on the delete relaxation compute upper and lower bounds on the optimal del...
Heuristic functions based on the delete relaxation compute upper and lower bounds on the optimal del...
The automatic derivation of heuristic functions for guiding the search for plans is a fundamental te...
Optimal plans of delete-free planning tasks are interesting both in domains that have no delete effe...
AbstractThe automatic derivation of heuristic functions for guiding the search for plans is a fundam...
The currently dominant approach to domain-independent planning is planning as heuristic search, with...
Delete-free planning underlies many popular relaxation (h+) based heuristics used in state-of-the-ar...
International audienceHeuristics based on the delete relaxation are at the forefront of modern domai...
We establish a novel relation between delete-free planning, an important task for the AI planning co...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
Despite its success, the delete relaxation has significant pitfalls. Recent work has devised the red...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
Recently, several methods have been proposed for optimal delete-free planning. We present an increme...
Heuristics based on the delete relaxation are at the forefront of modern domain-independent planning...