Add to ORKGInternational audienceIntuitively, Automated Planning systems capable of learning from previous experiences should be able to achieve better performance. One way to build on past experiences is to augment domains with macro-operators (i.e. frequent operator sequences). In most existing works, macros are generated from chunks of adjacent operators extracted from a set of plans. Although they provide some interesting results this type of analysis may provide incomplete results. In this paper, we propose ERA, an automatic extraction method for macro-operators from a set of solution plans. Our algorithm is domain and planner independent and can find all macro-operator occurrences even if the operators are non-adjacent. Our method has proven to ...
Despite recent progress in planning, many complex domains and even larger problems in simple domains...
Macro-operators, macros for short, are a well-known technique for enhancing performance of planning ...
Despite recent progress in planning, many complex domains and even larger problems in simple domains...
International audienceUnderstanding the role that plays the extraction phase on identifying potentia...
Despite recent progress in AI planning, many benchmarks remain challenging for current planners. In ...
Abstract—Automated planning has achieved significant breakthroughs in recent years. Nonetheless, att...
There are many approaches for solving planning problems. Many of these approaches are based on ‘brut...
Research into techniques that reformulate problems to make general solvers more efficiently derive s...
Research into techniques that reformulate problems to make general solvers more efficiently derive s...
Domain re-engineering through macro-actions (i.e. macros) provides one potential avenue for research...
Many complex domains and even larger problems in simple domains remain challenging in spite of the r...
Intuitively, a system capable of exploiting its past experiences should be able to achieve better pe...
International audiencePlanning has achieved significant progress in recent years. Among the various ...
Despite recent progress in AI planning, many problems re-main challenging for current planners. In m...
The problem of automated planning is known to be intractable in general. Moreover, it has been prove...
Despite recent progress in planning, many complex domains and even larger problems in simple domains...
Macro-operators, macros for short, are a well-known technique for enhancing performance of planning ...
Despite recent progress in planning, many complex domains and even larger problems in simple domains...
International audienceUnderstanding the role that plays the extraction phase on identifying potentia...
Despite recent progress in AI planning, many benchmarks remain challenging for current planners. In ...
Abstract—Automated planning has achieved significant breakthroughs in recent years. Nonetheless, att...
There are many approaches for solving planning problems. Many of these approaches are based on ‘brut...
Research into techniques that reformulate problems to make general solvers more efficiently derive s...
Research into techniques that reformulate problems to make general solvers more efficiently derive s...
Domain re-engineering through macro-actions (i.e. macros) provides one potential avenue for research...
Many complex domains and even larger problems in simple domains remain challenging in spite of the r...
Intuitively, a system capable of exploiting its past experiences should be able to achieve better pe...
International audiencePlanning has achieved significant progress in recent years. Among the various ...
Despite recent progress in AI planning, many problems re-main challenging for current planners. In m...
The problem of automated planning is known to be intractable in general. Moreover, it has been prove...
Despite recent progress in planning, many complex domains and even larger problems in simple domains...
Macro-operators, macros for short, are a well-known technique for enhancing performance of planning ...
Despite recent progress in planning, many complex domains and even larger problems in simple domains...