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Florian Geißer
Florian Geißer
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Zitiert von
Zitiert von
Jahr
Towards effective localization in dynamic environments
D Sun, F Geißer, B Nebel
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
302016
Abstractions for planning with state-dependent action costs
F Geißer, T Keller, R Mattmüller
Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016
272016
Abstractions for planning with state-dependent action costs
F Geißer, T Keller, R Mattmüller
Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016
272016
Delete relaxations for planning with state-dependent action costs
F Geißer, T Keller, R Mattmüller
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
242015
Symbolic planning with edge-valued multi-valued decision diagrams
D Speck, F Geißer, R Mattmüller
Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018
182018
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
142016
SYMPLE: symbolic planning based on EVMDDs
D Speck, F Geißer, R Mattmüller
IPC-9 planner abstracts, 91-94, 2018
132018
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
112014
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
92020
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
82019
Prost-DD–utilizing symbolic classical planning in THTS
F Geißer, D Speck
Sixth International Probabilistic Planning Competition (IPC-6): planner …, 2018
62018
Better be lucky than good: Exceeding expectations in mdp evaluation
T Keller, F Geißer
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
52015
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
42020
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
42018
Trial-Based Heuristic Tree Search for MDPs with Factored Action Spaces
F Geißer, D Speck, T Keller
Thirteenth Annual Symposium on Combinatorial Search, 2020
32020
An empirical study of the usefulness of state-dependent action costs in planning
S Corraya, F Geißer, D Speck, R Mattmüller
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2019
32019
Symbolic planning with axioms
D Speck, F Geißer, R Mattmüller, Á Torralba
Proceedings of the International Conference on Automated Planning and …, 2019
32019
On planning with state-dependent action costs
F Geißer
University of Freiburg, Freiburg im Breisgau, Germany, 2018
32018
Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods
P Ferber, F Geißer, F Trevizan, M Helmert, J Hoffmann
Proc. ICAPS, 2022
22022
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
22021
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