Add to ORKGThis paper describes Marvin, a planner that competed in the Fourth International Planning Competition (IPC 4). Marvin uses action-sequence-memoisation techniques to generate macroactions, which are then used during search for a solution plan. We provide an overview of its architecture and search behaviour, detailing the algorithms used. We also empirically demonstrate the effectiveness of its features in various planning domains; in particular, the effects on performance due to the use of macro-actions, the novel features of its search behaviour, and the native support of ADL and Derived Predicates. 1
International audiencePlanning has achieved significant progress in recent years. Among the various ...
AbstractIn the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be...
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently g...
This paper describes Marvin, a planner that competed in the Fourth International Planning Competitio...
This paper describes Marvin, a planner that competed in the Fourth International Planning Competitio...
Marvin is a forward-chaining heuristic-search planner. The basic search strategy used is similar to ...
Abstract—Automated planning has achieved significant breakthroughs in recent years. Nonetheless, att...
This paper explores issues encountered when performing on-line management of large collections of ma...
In this paper we discuss techniques for online generation of macro-actions as part of the planning p...
Research on macro-operators has a long history in planning and other search applications. There has ...
Many fully automated planning systems use a single, domain independent heuristic to guide search and...
Despite recent progress in AI planning, many benchmarks remain challenging for current planners. In ...
National audiencePlanning has achieved significant progress in recent years. Among the various appro...
The use of macro-actions in planning introduces a trade-off.. Macro-actions can offer search guidanc...
In the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be competi...
International audiencePlanning has achieved significant progress in recent years. Among the various ...
AbstractIn the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be...
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently g...
This paper describes Marvin, a planner that competed in the Fourth International Planning Competitio...
This paper describes Marvin, a planner that competed in the Fourth International Planning Competitio...
Marvin is a forward-chaining heuristic-search planner. The basic search strategy used is similar to ...
Abstract—Automated planning has achieved significant breakthroughs in recent years. Nonetheless, att...
This paper explores issues encountered when performing on-line management of large collections of ma...
In this paper we discuss techniques for online generation of macro-actions as part of the planning p...
Research on macro-operators has a long history in planning and other search applications. There has ...
Many fully automated planning systems use a single, domain independent heuristic to guide search and...
Despite recent progress in AI planning, many benchmarks remain challenging for current planners. In ...
National audiencePlanning has achieved significant progress in recent years. Among the various appro...
The use of macro-actions in planning introduces a trade-off.. Macro-actions can offer search guidanc...
In the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be competi...
International audiencePlanning has achieved significant progress in recent years. Among the various ...
AbstractIn the AIPS98 Planning Contest, the hsp planner showed that heuristic search planners can be...
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently g...