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2020 – today
- 2024
[c10]Clemens Büchner, Patrick Ferber, Jendrik Seipp, Malte Helmert:
Abstraction Heuristics for Factored Tasks. ICAPS 2024: 40-49- [c9]Mingyu Hao, Felipe W. Trevizan, Sylvie Thiébaux, Patrick Ferber, Jörg Hoffmann:
Guiding GBFS through Learned Pairwise Rankings. IJCAI 2024: 6724-6732 - 2022
- [b1]Patrick Ferber:
Machine learning for classical planning: neural network heuristics, online portfolios, and state space topologies. Saarland University, Saarbrücken, Germany, 2022 - [c8]Patrick Ferber, Jendrik Seipp:
Explainable Planner Selection for Classical Planning. AAAI 2022: 9741-9749 - [c7]Marcel Steinmetz, Daniel Fiser, Hasan Ferit Eniser, Patrick Ferber, Timo P. Gros, Philippe Heim, Daniel Höller, Xandra Schuler, Valentin Wüstholz, Maria Christakis, Jörg Hoffmann:
Debugging a Policy: Automatic Action-Policy Testing in AI Planning. ICAPS 2022: 353-361 - [c6]Patrick Ferber, Florian Geißer, Felipe W. Trevizan, Malte Helmert, Jörg Hoffmann:
Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods. ICAPS 2022: 583-587 - [c5]Patrick Ferber, Liat Cohen, Jendrik Seipp, Thomas Keller:
Learning and Exploiting Progress States in Greedy Best-First Search. IJCAI 2022: 4740-4746 - [c4]Daniel Heller, Patrick Ferber, Julian Bitterwolf, Matthias Hein, Jörg Hoffmann:
Neural Network Heuristic Functions: Taking Confidence into Account. SOCS 2022: 223-228 - 2020
- [c3]Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. AAAI 2020: 5077-5084 - [c2]Patrick Ferber, Malte Helmert
, Jörg Hoffmann:
Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space. ECAI 2020: 2346-2353
2010 – 2019
- 2019
- [c1]Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber:
Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection. AAAI 2019: 7715-7723 - [i2]Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz:
IPC: A Benchmark Data Set for Learning with Graph-Structured Data. CoRR abs/1905.06393 (2019) - 2018
- [i1]Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Adaptive Planner Scheduling with Graph Neural Networks. CoRR abs/1811.00210 (2018)
Coauthor Index
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last updated on 2024-10-21 20:33 CEST by the dblp team
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