| Towards effective localization in dynamic environments D Sun, F Geißer, B Nebel 2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016 | 38 | 2016 |
| Abstractions for planning with state-dependent action costs F Geißer, T Keller, R Mattmüller Proceedings of the International Conference on Automated Planning and …, 2016 | 29 | 2016 |
| Abstractions for planning with state-dependent action costs F Geißer, T Keller, R Mattmüller Proceedings of the International Conference on Automated Planning and …, 2016 | 29 | 2016 |
| Delete relaxations for planning with state-dependent action costs F Geißer, T Keller, R Mattmüller Proceedings of the International Symposium on Combinatorial Search 6 (1 …, 2015 | 26 | 2015 |
| SYMPLE: symbolic planning based on EVMDDs D Speck, F Geißer, R Mattmüller IPC-9 planner abstracts, 91-94, 2018 | 21 | 2018 |
| Symbolic planning with edge-valued multi-valued decision diagrams D Speck, F Geißer, R Mattmüller Proceedings of the International Conference on Automated Planning and …, 2018 | 19 | 2018 |
| State-dependent Cost Partitionings for Cartesian Abstractions in Classical Planning T Keller, F Pommerening, J Seipp, F Geißer, R Mattmüller Proceedings of the 25th International Joint Conference on Artificial …, 2016 | 17 | 2016 |
| When perfect is not good enough: On the search behaviour of symbolic heuristic search D Speck, F Geißer, R Mattmüller Proceedings of the International Conference on Automated Planning and …, 2020 | 11 | 2020 |
| Past, Present, and Future: An Optimal Online Algorithm for Single-Player GDL-II Games. F Geißer, T Keller, R Mattmüller ECAI 14, 357-362, 2014 | 11 | 2014 |
| An analysis of the probabilistic track of the IPC 2018 F Geißer, D Speck, T Keller ICAPS 2019 workshop on the international planning competition (WIPC), 27-35, 2019 | 9 | 2019 |
| Neural network heuristic functions for classical planning: Bootstrapping and comparison to other methods P Ferber, F Geißer, F Trevizan, M Helmert, J Hoffmann Proceedings of the International Conference on Automated Planning and …, 2022 | 6 | 2022 |
| Prost-DD–utilizing symbolic classical planning in THTS F Geißer, D Speck Sixth International Probabilistic Planning Competition (IPC-6): planner …, 2018 | 6 | 2018 |
| Optimal and heuristic approaches for constrained flight planning under weather uncertainty F Geißer, G Povéda, F Trevizan, M Bondouy, F Teichteil-Königsbuch, ... Proceedings of the International Conference on Automated Planning and …, 2020 | 5 | 2020 |
| Trial-Based Heuristic Tree Search for MDPs with Factored Action Spaces F Geißer, D Speck, T Keller Proceedings of the International Symposium on Combinatorial Search 11 (1), 38-47, 2020 | 5 | 2020 |
| On the relationship between state-dependent action costs and conditional effects in planning R Mattmüller, F Geißer, B Wright, B Nebel Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 5 | 2018 |
| Better be lucky than good: Exceeding expectations in mdp evaluation T Keller, F Geißer Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 5 | 2015 |
| Symbolic planning with axioms D Speck, F Geißer, R Mattmüller, Á Torralba Proceedings of the International Conference on Automated Planning and …, 2019 | 4 | 2019 |
| An empirical study of the usefulness of state-dependent action costs in planning S Corraya, F Geißer, D Speck, R Mattmüller KI 2019: Advances in Artificial Intelligence: 42nd German Conference on AI …, 2019 | 3 | 2019 |
| On planning with state-dependent action costs F Geißer University of Freiburg, Freiburg im Breisgau, Germany, 2018 | 3 | 2018 |
| Neural Network Heuristic Functions for Classical Planning: Reinforcement Learning and Comparison to Other Methods P Ferber, F Geißer, F Trevizan, M Helmert, J Hoffmann PRL Workshop–Bridging the Gap Between AI Planning and Reinforcement Learning, 2021 | 2 | 2021 |
