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  1. Selecting goals in oversubscription planning using relaxed plans.Angel García-Olaya, Tomás de la Rosa & Daniel Borrajo - 2021 - Artificial Intelligence 291 (C):103414.
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  • Relaxing non-interference requirements in parallel plans.Miquel Bofill, Joan Espasa & Mateu Villaret - 2021 - Logic Journal of the IGPL 29 (1):45-71.
    The aim of being able to reason about quantities, time or space has been the main objective of the many efforts on the integration of propositional planning with extensions to handle different theories. Planning modulo theories are an approximation inspired by satisfiability modulo theories that generalize the integration of arbitrary theories with propositional planning. Parallel plans are crucial to reduce plan lengths and hence the time needed to reach a feasible plan in many approaches. Parallelization of actions relies on the (...)
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  • Deterministic planning in the fifth international planning competition: PDDL3 and experimental evaluation of the planners.Alfonso E. Gerevini, Patrik Haslum, Derek Long, Alessandro Saetti & Yannis Dimopoulos - 2009 - Artificial Intelligence 173 (5-6):619-668.
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  • Generating diverse plans to handle unknown and partially known user preferences.Tuan Anh Nguyen, Minh Do, Alfonso Emilio Gerevini, Ivan Serina, Biplav Srivastava & Subbarao Kambhampati - 2012 - Artificial Intelligence 190 (C):1-31.
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