Planification en temps rΓ©el avec agenda de buts et sauts

October 22, 2018 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Damien Pellier, Bruno Bouzy, Marc MΓ©tivier arXiv ID 1810.10907 Category cs.AI: Artificial Intelligence Citations 0 Venue arXiv.org Last Checked 4 months ago
Abstract
In the context of real-time planning, this paper investigates the contributions of two enhancements for selecting actions. First, the agenda-driven planning enhancement ranks relevant atomic goals and solves them incrementally in a best-first manner. Second, the committed jump enhancement commits a sequence of actions to be executed at the following time steps. To assess these two enhancements, we developed a real-time planning algorithm in which action selection can be driven by a goal-agenda, and committed jumps can be done. Experimental results, performed on classical planning problems, show that agenda-planning and committed jumps are clear advantages in the real-time context. Used simultaneously, they enable the planner to be several orders of magnitude faster and solution plans to be shorter.
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