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Building and Using a Planning Ontology from Past Data for Performance Efficiency.

, , , and . PLATO@ICAPS, volume 3493 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)

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Building and Using a Planning Ontology from Past Data for Performance Efficiency., , , and . PLATO@ICAPS, volume 3493 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors., , , , and . AAAI, page 15545-15550. AAAI Press, (2023)Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning., , , and . AAAI, page 23820-23822. AAAI Press, (2024)A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors., , , , and . CoRR, (2022)Understanding the Capabilities of Large Language Models for Automated Planning., , , , , , , and . CoRR, (2023)Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers., , , , , , , , , and . IJCAI, page 7158-7162. ijcai.org, (2023)On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)., , , , , , , , , and . ICAPS, page 432-444. AAAI Press, (2024)LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making., , , , , and . ICAIF, page 100-107. ACM, (2023)