Adaptive Planner Scheduling with Graph Neural Networks. - Tengfei Ma 001; Patrick Ferber; Siyu Huo; Jie Chen 007; Michael Katz 001 (CoRR, 2018)

Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection. - Silvan Sievers; Michael Katz 001; Shirin Sohrabi; Horst Samulowitz; Patrick Ferber (AAAI, 2019)

IPC: A Benchmark Data Set for Learning with Graph-Structured Data. - Patrick Ferber; Tengfei Ma 001; Siyu Huo; Jie Chen 007; Michael Katz 001 (CoRR, 2019)

Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. - Tengfei Ma 001; Patrick Ferber; Siyu Huo; Jie Chen 007; Michael Katz 001 (AAAI, 2020)

Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space. - Patrick Ferber; Malte Helmert; Jörg Hoffmann 001 (ECAI, 2020)

Explainable Planner Selection for Classical Planning. - Patrick Ferber; Jendrik Seipp (AAAI, 2022)

Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods. - Patrick Ferber; Florian Geißer; Felipe W. Trevizan; Malte Helmert; Jörg Hoffmann 001 (ICAPS, 2022)

Debugging a Policy: Automatic Action-Policy Testing in AI Planning. - Marcel Steinmetz; Daniel Fiser; Hasan Ferit Eniser; Patrick Ferber; Timo P. Gros; Philippe Heim; Daniel Höller; Xandra Schuler; Valentin Wüstholz; Maria Christakis; Jörg Hoffmann 001 (ICAPS, 2022)

Learning and Exploiting Progress States in Greedy Best-First Search. - Patrick Ferber; Liat Cohen; Jendrik Seipp; Thomas Keller 001 (IJCAI, 2022)

Neural Network Heuristic Functions: Taking Confidence into Account. - Daniel Heller; Patrick Ferber; Julian Bitterwolf; Matthias Hein 001; Jörg Hoffmann 001 (SOCS, 2022)

Machine learning for classical planning: neural network heuristics, online portfolios, and state space topologies. - Patrick Ferber (2022)

Abstraction Heuristics for Factored Tasks. - Clemens Büchner; Patrick Ferber; Jendrik Seipp; Malte Helmert (ICAPS, 2024)

Guiding GBFS through Learned Pairwise Rankings. - Mingyu Hao; Felipe W. Trevizan; Sylvie Thiébaux; Patrick Ferber; Jörg Hoffmann 001 (IJCAI, 2024)