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Learning Useful Macro-actions for Planning with N-Grams.

, , , and . ICTAI, page 803-810. IEEE Computer Society, (2013)

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Testing Social Robot Acceptance: What If You Could Be Assessed for Dementia by a Robot? A Pilot Study., , , , and . ICMRE, page 92-98. IEEE, (2020)Tree-REX: SAT-Based Tree Exploration for Efficient and High-Quality HTN Planning., , , and . ICAPS, page 382-390. AAAI Press, (2019)Apprentissage de domaines HDDL à partir d'observations partielles et bruitées., , and . JIAF-JFPDA, page 138-148. (2024)Agent Cooperation: A Petri Net Based Model., and . ICMAS, page 425-426. IEEE Computer Society, (1998)End-User Programming of Low-and High-Level Actions for Robotic Task Planning., , , and . RO-MAN, page 1-8. IEEE, (2019)Totally and Partially Ordered Hierarchical Planners in PDDL4J Library., and . CoRR, (2020)HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems., , , , , , and . AAAI, page 9883-9891. AAAI Press, (2020)Efficient HTN to STRIPS Encodings for Concurrent Planning., , and . ICTAI, page 962-969. IEEE, (2023)Efficient SAT Encodings for Hierarchical Planning., , , and . ICAART (2), page 531-538. SciTePress, (2019)Coordinated exploration of unknown labyrinthine environments applied to the pursuit evasion problem., and . AAMAS, page 895-902. ACM, (2005)