Items where Author is "Hoffmann, Jörg"

2022

Steinmetz, Marcel and Fišer, Daniel and Enişer, Hasan Ferit and Ferber, Patrick and Gros, Timo and Heim, Philippe and Höller, Daniel and Schuler, Xandra and Wüstholz, Valentin and Christakis, Maria and Hoffmann, Jörg. (2022) Debugging a Policy: Automatic Action-Policy Testing in AI Planning. In: Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS2022). pp. 353-361.

Ferber, Patrick and Geißer, Florian and Trevizan, Felipe and Helmert, Malte and Hoffmann, Jörg. (2022) Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods. In: Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022). pp. 583-587.

Heller, Daniel and Ferber, Patrick and Bitterwolf, Julian and Hein, Matthias and Hoffmann, Jörg. (2022) Neural Network Heuristic Functions: Taking Confidence into Account. In: Proceedings of the Fifteenth International Symposium on Combinatorial Search (SoCS2022). pp. 223-228.

2021

Ferber, Patrick and Geißer, Florian and Trevizan, Felipe and Helmert, Malte and Hoffmann, Jörg. (2021) Neural Network Heuristic Functions for Classical Planning: Reinforcement Learning and Comparison to Other Methods. PRL Workshop – Bridging the Gap Between AI Planning and Reinforcement Learning.

2020

Ferber, Patrick and Helmert, Malte and Hoffmann, Jörg. (2020) Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space. In: 24th European Conference on Artificial Intelligence, 29 August–8 September 2020, 325. pp. 2346-2353.

Hoffmann, Jörg and Helmert, Malte and Gnad, Daniel and Pommerening, Florian. (2020) Planen. In: Handbuch der Künstlichen Intelligenz. Berlin, pp. 395-427.

Ferber, Patrick and Helmert, Malte and Hoffmann, Jörg. (2020) Reinforcement Learning for Planning Heuristics. Proceedings of the 1st Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL). pp. 119-126.

2019

Gnad, Daniel and Hoffmann, Jörg and Wehrle, Martin. (2019) Strong Stubborn Set Pruning for Star-Topology Decoupled State Space Search. Journal of Artificial Intelligence Research, 65. pp. 343-392.

2016

Gnad, Daniel and Torralba, Álvaro and Hoffmann, Jörg and Wehrle, Martin. (2016) Decoupled Search for Proving Unsolvability (planner abstract).

Gnad, Daniel and Wehrle, Martin and Hoffmann, Jörg. (2016) Decoupled Strong Stubborn Sets. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 4. Palo Alto, California, pp. 3110-3116.

2012

Katz, Michael and Hoffmann, Jörg and Helmert, Malte. (2012) How to relax a bisimulation? In: Proceedings of the 22nd International Conference on Automated Planning and Scheduling (ICAPS 2012). Atibaia, pp. 101-109.

2011

Nissim, Raz and Hoffmann, Jörg and Helmert, Malte. (2011) Computing perfect heuristics in polynomial time : on bisimulation and merge-and-shrink abstractions in optimal planning. In: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI 2011). Menlo Park (Calif.), pp. 1983-1990.