It is not surprising that structures underly many of the problems that we find interesting in planning. However, the planners that we develop are not always capable of acting on them as they increase in size. For example, the errors caused through relaxations in a heuristic can grow quickly when acting on a structure. Macro actions can help to compensate for heuristic error; however, researchers have investigated finite length macro actions limiting the benefit when the underlying problem is an arbitrary sized structure. In this work we design a specific set of arbitrary length macros, providing a vocabulary for acting on structures
International audiencePlanning has achieved significant progress in recent years. Among the various ...
Research into techniques that reformulate problems to make general solvers more efficiently derive s...
National audiencePlanning has achieved significant progress in recent years. Among the various appro...
It is not surprising that structures underly many of the problems that we find interesting in planni...
Many complex domains and even larger problems in simple domains remain challenging in spite of the r...
Despite recent progress in planning, many complex domains and even larger problems in simple domains...
Despite recent progress in planning, many complex domains and even larger problems in simple domains...
There are many approaches for solving planning problems. Many of these approaches are based on ‘brut...
Domain re-engineering through macro-actions (i.e. macros) provides one potential avenue for research...
Capturing and exploiting structural knowledge of planning problems has shown to be a successful st...
Many fully automated planning systems use a single, domain independent heuristic to guide search and...
Capturing and exploiting structural knowledge of planning problems has shown to be a successful stra...
Despite recent progress in planning, many complex domains and even simple domains with large problem...
Abstract—Automated planning has achieved significant breakthroughs in recent years. Nonetheless, att...
Research into techniques that reformulate problems to make general solvers more efficiently derive s...
International audiencePlanning has achieved significant progress in recent years. Among the various ...
Research into techniques that reformulate problems to make general solvers more efficiently derive s...
National audiencePlanning has achieved significant progress in recent years. Among the various appro...
It is not surprising that structures underly many of the problems that we find interesting in planni...
Many complex domains and even larger problems in simple domains remain challenging in spite of the r...
Despite recent progress in planning, many complex domains and even larger problems in simple domains...
Despite recent progress in planning, many complex domains and even larger problems in simple domains...
There are many approaches for solving planning problems. Many of these approaches are based on ‘brut...
Domain re-engineering through macro-actions (i.e. macros) provides one potential avenue for research...
Capturing and exploiting structural knowledge of planning problems has shown to be a successful st...
Many fully automated planning systems use a single, domain independent heuristic to guide search and...
Capturing and exploiting structural knowledge of planning problems has shown to be a successful stra...
Despite recent progress in planning, many complex domains and even simple domains with large problem...
Abstract—Automated planning has achieved significant breakthroughs in recent years. Nonetheless, att...
Research into techniques that reformulate problems to make general solvers more efficiently derive s...
International audiencePlanning has achieved significant progress in recent years. Among the various ...
Research into techniques that reformulate problems to make general solvers more efficiently derive s...
National audiencePlanning has achieved significant progress in recent years. Among the various appro...