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An Effective Polynomial Technique for Compiling Conditional Effects Away.

, , и . AAAI, стр. 20104-20112. AAAI Press, (2024)

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Alfonso Ortega

Sabrina Alfonso

Alfonso Lampen

Emilio Voigt

Emilio Francesquini

 

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Compressed Path Databases with Ordered Wildcard Substitutions., , , и . ICAPS, стр. 250-258. AAAI Press, (2017)On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces., , , , и . AAAI, стр. 11862-11869. AAAI Press, (2021)Agent planning programs., , , , и . Artif. Intell., (2016)Deep Learning for Classification of Radiology Reports with a Hierarchical Schema., , , , и . KES, том 176 из Procedia Computer Science, стр. 349-359. Elsevier, (2020)Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic., , , , , и . ICAPS, стр. 61-69. AAAI Press, (2023)Optimised Variants of Polynomial Compilation for Conditional Effects in Classical Planning., , и . SOCS, стр. 100-108. AAAI Press, (2024)On Realizing Planning Programs in Domains with Dead-End States., , и . SOCS, стр. 20-28. AAAI Press, (2017)On Planning with Qualitative State-Trajectory Constraints in PDDL3 by Compiling them Away., , , и . ICAPS, стр. 46-50. AAAI Press, (2021)Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling., , , , , , , и . KES, том 225 из Procedia Computer Science, стр. 1542-1551. Elsevier, (2023)An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy., , , , , и . AIME, том 12721 из Lecture Notes in Computer Science, стр. 318-328. Springer, (2021)