Partial-order planning

Known as: Partial plan, Pop 
Partial-order planning is an approach to automated planning that leaves decisions about the ordering of actions as open as possible. It contrasts… (More)
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Papers overview

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2014
2014
This paper describes a new planner, HiPOP (Hierarchical Partial-Order Planner), which is domain-configurable and uses POP… (More)
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Highly Cited
2010
Highly Cited
2010
Over the last few years there has been a revival of interest in the idea of least-commitment planning with a number of… (More)
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2004
2004
We describe Probapop, a partial-order probabilistic planning system. Probapop is a blind (conformant) planner that finds plans… (More)
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Highly Cited
2001
Highly Cited
2001
This paper challenges the prevailing pessimism about the scalability of partial order planning (POP) algorithms by presenting… (More)
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Highly Cited
2001
Highly Cited
2001
In order to generate plans for agents with multiple actuators, agent teams, or distributed controllers, we must be able to… (More)
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2001
2001
Our query planning application for system integration requires a backward partial-order planner able to deal with non-ground… (More)
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Highly Cited
1995
Highly Cited
1995
Despite the long history of classical planning, there has been very little comparative analysis of the performance tradeoffs… (More)
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Highly Cited
1994
Highly Cited
1994
We describe DPOCL a partial order causal link plan ner that includes action decomposition DPOCL builds directly on the SNLP… (More)
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1994
1994
Derivation replay was first proposed by Carbonell as a method of transferring guidance from a previous problemsolving episode to… (More)
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1993
1993
An important aspect of partial-order planning is the resolution of threats between actions and causal links in a plan. We present… (More)
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