Most practical work on AI planningsystems during the last fteen years has been based on hierarchical task network (HTN) decomposition, but until now, there has been very little an...
Casting planning problems as propositional satis ability problems has recently been shown to be an effective way of scaling up plan synthesis. Until now, the bene ts of this appro...
This paper provides techniques for hierarchical task network (HTN) planning with durative actions. HTNs can provide useful heuristic guidance to planners, express goals that canno...
This paper presents an application of Hierarchical Transition Network (HTN) planning to a squad-based military simulation. The hierarchical planner produces collaborative plans fo...
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...