Patrick Ferber

According to our database, Patrick Ferber authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Machine learning for classical planning: neural network heuristics, online portfolios, and state space topologies.

Patrick Ferber

PhD thesis, 2022

Neural Network Heuristic Functions: Taking Confidence into Account.

Daniel Heller, Patrick Ferber, Julian Bitterwolf, Matthias Hein, Jörg Hoffmann

Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

Learning and Exploiting Progress States in Greedy Best-First Search.

Patrick Ferber, Liat Cohen, Jendrik Seipp, Thomas Keller

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 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

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Explainable Planner Selection for Classical Planning.

Patrick Ferber, Jendrik Seipp

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space.

Patrick Ferber, Malte Helmert, Jörg Hoffmann

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Online Planner Selection with Graph Neural Networks and Adaptive Scheduling.

Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

IPC: A Benchmark Data Set for Learning with Graph-Structured Data.

Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz

CoRR, 2019

Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection.

Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Adaptive Planner Scheduling with Graph Neural Networks.

Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz

CoRR, 2018