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Classical planning is the problem of finding a sequence of actions to achieve a goal given an exact characterization of a domain.
A planning problem is a matter of finding a sequence of actions that will achieve the goal, given the initial situation.
In robotics, the path-planning task consists of finding a sequence of actions that cause an agent to move from an initial state (position and orientation) to a final state (position and orientation).
That is, given a goal G and initial situation s, the problem will consist of finding a sequence s1,...,sn of actions which will transform s into a final situation that satisfies G.
In principle, this is an instance of the inverse folding problem, which consists of finding a sequence that fits some secondary structure constraints.
Similar(55)
In this paper, we define the mosaic LCS (MLCS) problem of finding a mosaic sequence C, composed of repeatable k sequences in source sequence set S, such that the LCS of C and the target sequence T is maximal.
Now, we analyze how to improve the efficiency of finding a valid sequence.
The abstraction is refined in such a way that the possibility of finding a distinguishing sequence in a refined abstraction is enhanced.
In order to improve the efficiency of finding a valid sequence, we design some pruning strategies and give the corresponding scheduling algorithm.
Furthermore, in order to improve the efficiency of finding a valid sequence, we design some pruning strategies and give the corresponding scheduling algorithm.
Since the nodes of the path are randomly selected, the probability of finding a consecutive sequence of h normal nodes is given by P r B h = ∏ i = 0 h − 1 N N − i N − i (2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com