Although task reduction (HTN) planning historically preceded partial order (PO) planning, and is understood to be more general than the latter, very little analysis has been done regarding its performance. Part of the reason for this has been the lack of systematic understanding of the functionalities provided by HTN planning over and above that of partial order planning. HTN planning has been characterized as everything from a panacea for the problems of partial order planners to a mere "efficiency hack" on partial order planning. In this paper I will extend a generalized algorithm for partial order planning, that I developed recent work, to cover HTN planning
In this document we will continue a line of research which focusses on reviving partial order planni...
Problem specifications for classical planners based on a STRIPS-like representation typically consis...
The common wisdom that goal orderings can be used to improve planning performance is nearly as old a...
Although task reduction (HTN) planning historically preceded partial order (PO) planning, and is und...
For many years, the intuitions underlying partial-order planning were largely taken for granted. Onl...
For many years, the intuitions underlying partial-order planning were largely taken for granted. Onl...
The principle of least commitment was embraced early in planning research. Hierarchical task network...
Partial order reduction is a state space pruning approach that has been originally introduced in com...
SHOP (Simple Hierarchical Ordered Planner) and M-SHOP (Multi-task-list SHOP) are HTN planning algori...
AbstractDespite the long history of classical planning, there has been very little comparative analy...
Most current partial-order planning systems are based on either the TWEAK or SNLP planning al-gorith...
For our case, we'll explore partial-order planning in a classical planning environment. Such an...
During the planning process, a planner may often have many different options for what kind of plan r...
We describe some simple domain-independent improvements to plan-refinement strategies for well-found...
Partial orders are an essential supporting component of non-linear, constraint-posting planning algo...
In this document we will continue a line of research which focusses on reviving partial order planni...
Problem specifications for classical planners based on a STRIPS-like representation typically consis...
The common wisdom that goal orderings can be used to improve planning performance is nearly as old a...
Although task reduction (HTN) planning historically preceded partial order (PO) planning, and is und...
For many years, the intuitions underlying partial-order planning were largely taken for granted. Onl...
For many years, the intuitions underlying partial-order planning were largely taken for granted. Onl...
The principle of least commitment was embraced early in planning research. Hierarchical task network...
Partial order reduction is a state space pruning approach that has been originally introduced in com...
SHOP (Simple Hierarchical Ordered Planner) and M-SHOP (Multi-task-list SHOP) are HTN planning algori...
AbstractDespite the long history of classical planning, there has been very little comparative analy...
Most current partial-order planning systems are based on either the TWEAK or SNLP planning al-gorith...
For our case, we'll explore partial-order planning in a classical planning environment. Such an...
During the planning process, a planner may often have many different options for what kind of plan r...
We describe some simple domain-independent improvements to plan-refinement strategies for well-found...
Partial orders are an essential supporting component of non-linear, constraint-posting planning algo...
In this document we will continue a line of research which focusses on reviving partial order planni...
Problem specifications for classical planners based on a STRIPS-like representation typically consis...
The common wisdom that goal orderings can be used to improve planning performance is nearly as old a...