To generate plans that achieve the goals expressed in our formalism we present a planning algorithm that uses the logical mechanism of formula progression. This ...
In planning, goals have traditionally been viewed as specifying a set of desirable final states. Any plan that transforms the current state to one of these.
Jul 1, 2023 · We study classical planning for temporally extended goals expressed in Pure-Past Linear Temporal Logic (PPLTL). PPLTL is as expressive as Linear ...
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Abstract. We study temporally extended goals expressed in Pure-Past ltl (ppltl). ppltl is particularly interesting for expressing goals since it allows to ...
In planning, temporal specifications are usually either re- garded as extended goals or as a means of encoding domain- specific search control knowledge used to ...
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In this paper we address the problem of generating finite plans for temporally extended goals (TEGs) using heuristic search. TEGs refer to properties that must ...
In AI Planning, a temporally extended goal is a (possibly complex) property that the state-trace induced by a plan has to satisfy.
Apr 21, 2022 · Abstract:We study temporally extended goals expressed in Pure-Past LTL (PPLTL). PPLTL is particularly interesting for expressing goals since ...
We study temporally extended goals expressed in Pure-Past LTL (PPLTL). PPLTL is particularly interesting for expressing goals since it allows to express ...
To the best of our knowledge, this is the first FOND planner that applies symbolic reasoning over the actions (and not over state transition relations) and can ...