| Neural network heuristics for classical planning: A study of hyperparameter space P Ferber, M Helmert, J Hoffmann ECAI 2020, 2346-2353, 2020 | 56 | 2020 |
| Online planner selection with graph neural networks and adaptive scheduling T Ma, P Ferber, S Huo, J Chen, M Katz Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5077-5084, 2020 | 49* | 2020 |
| Deep learning for cost-optimal planning: Task-dependent planner selection S Sievers, M Katz, S Sohrabi, H Samulowitz, P Ferber Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7715-7723, 2019 | 47 | 2019 |
| Reinforcement learning for planning heuristics P Ferber, M Helmert, J Hoffmann Proceedings of the 1st workshop on bridging the gap between AI planning and …, 2020 | 32* | 2020 |
| Debugging a policy: Automatic action-policy testing in AI planning M Steinmetz, D Fišer, HF Eniser, P Ferber, TP Gros, P Heim, D Höller, ... Proceedings of the International Conference on Automated Planning and …, 2022 | 9 | 2022 |
| A Comparison of Abstraction Heuristics for Rubik's Cube C Büchner, P Ferber, J Seipp, M Helmert ICAPS 2022 Workshop on Heuristics and Search for Domain-independent Planning, 2022 | 7 | 2022 |
| Explainable Planner Selection for Classical Planning P Ferber, J Seipp Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022 | 6* | 2022 |
| Ipc: A benchmark data set for learning with graph-structured data P Ferber, T Ma, S Huo, J Chen, M Katz arXiv preprint arXiv:1905.06393, 2019 | 6 | 2019 |
| Learning and exploiting progress states in greedy best-first search P Ferber, L Cohen, J Seipp, T Keller International Joint Conferences on Artificial Intelligence, 2022 | 5 | 2022 |
| Guiding GBFS through learned pairwise rankings M Hao, F Trevizan, S Thiébaux, P Ferber, J Hoffmann Proc. of 33rd Int. Joint Conf. on AI (IJCAI).[Cited on page 20.], 2024 | 4 | 2024 |
| Neural Network Heuristic Functions: Taking Confidence into Account D Heller, P Ferber, J Bitterwolf, M Hein, J Hoffmann Proceedings of the International Symposium on Combinatorial Search 15 (1 …, 2022 | 4 | 2022 |
| Fast Downward Stone Soup 2023 C Büchner, R Christen, AB Corrêa, S Eriksson, P Ferber, J Seipp, ... University_of_Basel, 2023 | 2 | 2023 |
| Hapori Explainable Decision Tree P Ferber, M Katz, J Seipp, S Sievers, D Borrajo, I Cenamor, T de la Rosa, ... en. In, 58-60, 2023 | 2 | 2023 |
| Machine learning for classical planning: neural network heuristics, online portfolios, and state space topologies PC Ferber Saarländische Universitäts-und Landesbibliothek, 2022 | 1 | 2022 |
| Simplified Planner Selection P Ferber Proceedings of the 12th Workshop on Heuristics and Search for Domain …, 2020 | 1 | 2020 |
| Using neural networks for distance estimation in planning P Ferber Universität des Saarlandes Saarbrücken, 2017 | 1 | 2017 |
| Abstraction Heuristics for Factored Tasks C Büchner, P Ferber, J Seipp, M Helmert Proceedings of the International Conference on Automated Planning and …, 2024 | | 2024 |
| Creating satisficing planners with deep learning M Katz, PC Ferber US Patent App. 17/646,088, 2023 | | 2023 |
| Methods and systems for improving heuristic searches for artificial intelligence planning M Katz, PC Ferber US Patent App. 16/741,431, 2021 | | 2021 |
| Hapori IBaCoP2 P Ferber, M Katz, J Seipp, S Sievers, D Borrajo, I Cenamor, T de la Rosa, ... | | |
