Many state-of-the-art heuristic planners derive their heuristic function by relaxing the planning task at hand, where the relaxation is to assume that all delete lists are empty. The success of such planners on many of the current benchmarks suggests that in those task's state spaces relaxed goal distances yield a heuristic function of high quality. Recent work has revealed..
Greedy Best-First Search (GBFS) is a powerful algorithm at the heart of many state of the art satisf...
The automatic derivation of heuristic functions for guiding the search for plans is a fundamental te...
Greedy Best-First Search (GBFS) is a powerful algorithm at the heart of many state of the art satisf...
During the last five years, the planning community has seen vast progress in terms of the sizes of b...
During the last five years, the planning community has seen vast progress in terms of the sizes of b...
Between 1998 and 2004, the planning community has seen vast progress in terms of the sizes of benchm...
Between 1998 and 2004, the planning community has seen vast progress in terms of the sizes of benchm...
LPG is a planner that performed very well in the third and fourth International plan-ning competitio...
State spaces in classical planning domains are usually quite large and can easily be extended to lar...
Greedy Best-First Search (GBFS) is a powerful algorithm at the heart of many state of the art satisf...
In the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be competi...
Abstract. One of the most successful approaches in automated planning is to use heuristic state-spac...
In the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be competi...
AbstractIn the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be...
Abstract. One of the most successful approaches in automated plan-ning is to use heuristic state-spa...
Greedy Best-First Search (GBFS) is a powerful algorithm at the heart of many state of the art satisf...
The automatic derivation of heuristic functions for guiding the search for plans is a fundamental te...
Greedy Best-First Search (GBFS) is a powerful algorithm at the heart of many state of the art satisf...
During the last five years, the planning community has seen vast progress in terms of the sizes of b...
During the last five years, the planning community has seen vast progress in terms of the sizes of b...
Between 1998 and 2004, the planning community has seen vast progress in terms of the sizes of benchm...
Between 1998 and 2004, the planning community has seen vast progress in terms of the sizes of benchm...
LPG is a planner that performed very well in the third and fourth International plan-ning competitio...
State spaces in classical planning domains are usually quite large and can easily be extended to lar...
Greedy Best-First Search (GBFS) is a powerful algorithm at the heart of many state of the art satisf...
In the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be competi...
Abstract. One of the most successful approaches in automated planning is to use heuristic state-spac...
In the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be competi...
AbstractIn the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be...
Abstract. One of the most successful approaches in automated plan-ning is to use heuristic state-spa...
Greedy Best-First Search (GBFS) is a powerful algorithm at the heart of many state of the art satisf...
The automatic derivation of heuristic functions for guiding the search for plans is a fundamental te...
Greedy Best-First Search (GBFS) is a powerful algorithm at the heart of many state of the art satisf...