Add to ORKGMost practical work on AI planning systems during the last fifteen years has been based on hierarchical task network (HTN) decomposition, but until now, there has been very little analytical work on the properties of HTN planners. This paper describes how the complexity of HTN planning varies with various conditions on the task networks
We describe HTN-Maker, an algorithm for learning hierarchical planning knowledge in the form of task...
One big obstacle to understanding the nature of hierarchical task network (HTN) planning has been th...
AI Planning is a core technology in enabling advanced assistance for human users. When faced with c...
Most practical work on AI planning systems during the last fifteen years has been based on hierarchi...
Most practical work on AI planning systems during the last fifteen years has been based on hierarchi...
Most practical work on AI planning systems during the last fteen years has been based on hierarchica...
Planning is a central activity in many areas including robotics, manufacturing, space mission sequen...
Hierarchies are one of the most common structures used to understand and conceptualise the world. Wi...
Hierarchical Task Network (HTN) planning with task inser-tion (TIHTN planning) is a variant of HTN p...
Hierarchies are the most common structure used to understand the world better. In galaxies, for inst...
Hierarchical Task Network (HTN) planning is the problem of decomposing an initial task into a sequen...
Automated modeling assistance is indispensable to the AI planning being deployed in practice, notabl...
Hierarchical Task Network (HTN) planning with Task Insertion (TIHTN planning) is a formalism that hy...
We describe HTN-MAKER, an algorithm for learning hier-archical planning knowledge in the form of dec...
Hierarchical Task Network (HTN) planning (Sacerdoti 1974) is an approach to planning where problem-s...
We describe HTN-Maker, an algorithm for learning hierarchical planning knowledge in the form of task...
One big obstacle to understanding the nature of hierarchical task network (HTN) planning has been th...
AI Planning is a core technology in enabling advanced assistance for human users. When faced with c...
Most practical work on AI planning systems during the last fifteen years has been based on hierarchi...
Most practical work on AI planning systems during the last fifteen years has been based on hierarchi...
Most practical work on AI planning systems during the last fteen years has been based on hierarchica...
Planning is a central activity in many areas including robotics, manufacturing, space mission sequen...
Hierarchies are one of the most common structures used to understand and conceptualise the world. Wi...
Hierarchical Task Network (HTN) planning with task inser-tion (TIHTN planning) is a variant of HTN p...
Hierarchies are the most common structure used to understand the world better. In galaxies, for inst...
Hierarchical Task Network (HTN) planning is the problem of decomposing an initial task into a sequen...
Automated modeling assistance is indispensable to the AI planning being deployed in practice, notabl...
Hierarchical Task Network (HTN) planning with Task Insertion (TIHTN planning) is a formalism that hy...
We describe HTN-MAKER, an algorithm for learning hier-archical planning knowledge in the form of dec...
Hierarchical Task Network (HTN) planning (Sacerdoti 1974) is an approach to planning where problem-s...
We describe HTN-Maker, an algorithm for learning hierarchical planning knowledge in the form of task...
One big obstacle to understanding the nature of hierarchical task network (HTN) planning has been th...
AI Planning is a core technology in enabling advanced assistance for human users. When faced with c...