Publications

publication venues

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2024

■[8]Jayanta Mandi, Marco Foschini, Daniel Höller, Sylvie Thiébaux, Jörg Hoffmann, and Tias Guns: Decision-Focused Learning to Predict Action Costs for Planning. Proceedings of the 27th European Conference on Artificial Intelligence (ECAI), 2024: 4060–4067 (PDF, BibTeX)
■[7]Songtuan Lin, Daniel Höller, and Pascal Bercher: Modeling Assistance for Hierarchical Planning: An Approach for Correcting Hierarchical Domains with Missing Actions. Proceedings of the 17th International Symposium on Combinatorial Search (SoCS), 2024: 55–63, Best Student Paper Award (PDF, BibTeX)

2023

■[6]Daniel Höller: Hierarchical Planning – Expressivity Analysis, Solving Techniques, and Problem Compilations. Dissertation Thesis, Ulm University, 2023, ICAPS Best Dissertation Award 2024 (PDF, BibTeX)

2021

■[5]Daniel Höller, Songtuan Lin, Kutluhan Erol, and Pascal Bercher: From PCP to HTN Planning Through CFGs. Proceedings of the 10th International Planning Competition – Planner and Domains Abstracts (IPC), 2021 (PDF, BibTeX)

2020

■[4]Daniel Höller, Gregor Behnke, Pascal Bercher, Susanne Biundo, Humbert Fiorino, Damien Pellier, and Ron Alford: HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems. Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020: 9883–9891 (PDF, BibTeX)

2019

■[3]Daniel Höller, Gregor Behnke, Pascal Bercher, Susanne Biundo, Humbert Fiorino, Damien Pellier, and Ron Alford: HDDL – A Language to Describe Hierarchical Planning Problems. Proceedings of the 2nd ICAPS Workshop on Hierarchical Planning (HPlan), 2019 (PDF, BibTeX)

2016

■[2]Daniel Höller, Gregor Behnke, Pascal Bercher, and Susanne Biundo: Assessing the Expressivity of Planning Formalisms through the Comparison to Formal Languages. Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS), 2016: 158-165 (PDF, BibTeX)

2014

■[1]Daniel Höller, Gregor Behnke, Pascal Bercher, and Susanne Biundo: Language Classification of Hierarchical Planning Problems. Proceedings of the 21st European Conference on Artificial Intelligence (ECAI), 2014: 447-452 (PDF, BibTeX)