A collection of landmarks is complete if the cost of a minimum-cost hitting set equals h+ and there is a minimum-cost hitting set that is an optimal relaxed plan. We present an algorithm for generating a complete collection of landmarks and we show that this algorithm can be extended into effective polytime heuristics for optimal and satisficing planning. The new admissible heuristics are compared with current state-of-the-art heuristics for optimal planning on benchmark problems from the IPC
Many known planning tasks have inherent constraints concerning the best order in which to achieve th...
While cost-optimal planning aims at finding one best quality plan, top-k planning deals with finding...
Current heuristic estimators for classical domain-independent planning are usually based on one of f...
A collection of landmarks is complete if the cost of a minimum-cost hitting set equals h+ and there ...
We present a simple and efficient algorithm to solve delete-free planning problems optimally and cal...
Landmark heuristics are perhaps the most accurate current known admissible heuristics for optimal pl...
Landmarks of a planning task denote properties that must be satisfied by all plans. Existing landmar...
Abstract. Landmarks for a planning problem are subgoals that are necessarily made true at some point...
The paper generalises the notion of landmarks for reasoning about planning problems involving propos...
The planner GRAPHPLAN is based on an efficient propagation of reachability information which then ef...
Algorithms are usually shown to be correct on paper, but bugs in their implementations can still lea...
Many known planning tasks have inherent constraints concerning the best order in which to achieve th...
Landmarks for propositional planning tasks are variable as-signments that must occur at some point i...
Many known planning tasks have inherent constraints concerning the best order in which to achieve th...
In this paper, we revisit the idea of splitting a planning problem into subproblems hopefully eas-ie...
Many known planning tasks have inherent constraints concerning the best order in which to achieve th...
While cost-optimal planning aims at finding one best quality plan, top-k planning deals with finding...
Current heuristic estimators for classical domain-independent planning are usually based on one of f...
A collection of landmarks is complete if the cost of a minimum-cost hitting set equals h+ and there ...
We present a simple and efficient algorithm to solve delete-free planning problems optimally and cal...
Landmark heuristics are perhaps the most accurate current known admissible heuristics for optimal pl...
Landmarks of a planning task denote properties that must be satisfied by all plans. Existing landmar...
Abstract. Landmarks for a planning problem are subgoals that are necessarily made true at some point...
The paper generalises the notion of landmarks for reasoning about planning problems involving propos...
The planner GRAPHPLAN is based on an efficient propagation of reachability information which then ef...
Algorithms are usually shown to be correct on paper, but bugs in their implementations can still lea...
Many known planning tasks have inherent constraints concerning the best order in which to achieve th...
Landmarks for propositional planning tasks are variable as-signments that must occur at some point i...
Many known planning tasks have inherent constraints concerning the best order in which to achieve th...
In this paper, we revisit the idea of splitting a planning problem into subproblems hopefully eas-ie...
Many known planning tasks have inherent constraints concerning the best order in which to achieve th...
While cost-optimal planning aims at finding one best quality plan, top-k planning deals with finding...
Current heuristic estimators for classical domain-independent planning are usually based on one of f...