Learning rewrite rules to improve plan quality
Muhammad Afzal Upal · 1999
Considerable planning and learning research has been devoted to the problem of learning domain specific search control rules to improve planning efficiency. There have also been a few attempts to learn search control rules that improve plan quality but such efforts have been limited to state-space planners. The reason being that most of the newer planning approaches are based on plan refinement. In such planners, informa-tion about the current state of the world that is re-quired to evaluate a complex quality metric is simply not available during planning. An alternative technique is planning by rewritingthat suggests first generating an initial plan using a refinement planner and then using a set of rewrite-rules to transform it into a higher qual-ity plan (Ambite ~ Knoblock 1997). Unlike the search