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Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract).

, , , , and . IJCAI, page 6915-6919. ijcai.org, (2023)

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Refinement of Intentions.. IJCAI, page 5223-5224. ijcai.org, (2017)Hierarchical Task Network Planning with Task Insertion and State Constraints., , , , and . IJCAI, page 4463-4469. ijcai.org, (2017)Elementary Loops Revisited., , , , and . AAAI, page 1063-1069. AAAI Press, (2014)Exploring the Capacity of Pretrained Language Models for Reasoning about Actions and Change., , , and . ACL (1), page 4629-4643. Association for Computational Linguistics, (2023)BDI Logics for BDI Architectures: Old Problems, New Perspectives, , , and . KI -- Künstliche Intelligenz, 31 (1): 73--83 (March 2017)Structural Similarity of Boundary Conditions and an Efficient Local Search Algorithm for Goal Conflict Identification., , , , , and . APSEC, page 286-295. IEEE, (2020)LogicNMR: Probing the Non-monotonic Reasoning Ability of Pre-trained Language Models., , and . EMNLP (Findings), page 3616-3626. Association for Computational Linguistics, (2022)τε2asp : Implementing $TE$ via Answer Set Programming., , , and . PRICAI, volume 7458 of Lecture Notes in Computer Science, page 820-825. Springer, (2012)Refinement of Intentions., , , and . JELIA, volume 10021 of Lecture Notes in Computer Science, page 558-563. (2016)Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract)., , , , and . IJCAI, page 6915-6919. ijcai.org, (2023)