In this work, we aim to generalize Levesque's account to handle actions with nondeterministic outcomes, which may also be accorded probabilities.
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Mar 9, 2022 · Abstract. In automated planning, there has been a recent interest in solving a class of problems, where a single solution applies.
Jun 1, 2022 · In this work, we aim to generalize Levesque's account to handle actions with nondeterministic outcomes, which may also be accorded probabilities.
Jun 1, 2022 · This characterization argued that from each state considered possible initially, the plan should terminate while satisfying the goal.
In an influential paper, Levesque proposed a formal specification for analyzing the correctness of such plans. He motivated a logical characterization within ...
Analyzing generalized planning under nondeterminism ; Journal: Artificial Intelligence, 2022, p. 103696 ; Publisher: Elsevier BV ; Author: Vaishak Belle ; Funder ...
Citations of: Analyzing generalized planning under nondeterminism · Vaishak Belle · Artificial Intelligence 307 (C):103696 (2022). Add citations.
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Apr 3, 2024 · We have extended the formulation for learning general policies for classical planning domains to fully-observable non-deterministic domains.
2015. We create a unified framework for analyzing and synthesizing plans with loops for solving problems with non-deterministic numeric effects and a limited ...
One reason is that in nondeterministic planning problems, the planning algorithm must reason about all possible different execution paths to find a plan that ...
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