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David Speck
David Speck
Postdoctoral researcher at University of Freiburg
Verified email at informatik.uni-freiburg.de
Title
Cited by
Cited by
Year
Biomimetic bio-inspired biomorph sustainable? An attempt to classify and clarify biology-derived technical developments
O Speck, D Speck, R Horn, J Gantner, KP Sedlbauer
Bioinspiration & Biomimetics 12 (1), 011004, 2017
952017
Symbolic Planning with Edge-Valued Multi-Valued Decision Diagrams
D Speck, F Geißer, R Mattmüller
28th International Conference on Automated Planning and Scheduling (ICAPS …, 2018
182018
Shakey 2016 — How Much Does it Take to Redo Shakey the Robot?
D Speck, C Dornhege, W Burgard
IEEE Robotics and Automation Letters 2 (2), 1203-1209, 2017
122017
Learning Heuristic Selection with Dynamic Algorithm Configuration
D Speck, A Biedenkapp, F Hutter, R Mattmüller, M Lindauer
Proceedings of the ICAPS 2020 Workshop on Bridging the Gap Between AI …, 2020
112020
Symbolic top-k planning
D Speck, R Mattmüller, B Nebel
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9967-9974, 2020
112020
SYMPLE: Symbolic Planning based on EVMDDs
D Speck, R Geißer, Florian Mattmüller
Ninth International Planning Competition (IPC-9): planner abstracts, 91-94, 2018
112018
When Perfect is not Good Enough: On the Search Behaviour of Symbolic Heuristic Search
D Speck, F Geißer, R Mattmüller
30th International Conference on Automated Planning and Scheduling (ICAPS …, 2020
62020
An Analysis of the Probabilistic Track of the IPC 2018
F Geißer, D Speck, T Keller
Proceedings of the ICAPS 2019 Workshop on The International Planning …, 2019
62019
PROST-DD-Utilizing Symbolic Classical Planning in THTS
F Geißer, D Speck
Sixth International Probabilistic Planning Competition (IPPC-6): planner …, 2018
62018
Symbolic Search for Optimal Total-Order HTN Planning
G Behnke, D Speck
Proceedings of the AAAI Conference on Artificial Intelligence 35, 2021
4*2021
Necessary Observations in Nondeterministic Planning
D Speck, M Ortlieb, R Mattmüller
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2015
42015
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, A Torralba
29th International Conference on Automated Planning and Scheduling (ICAPS …, 2019
32019
Subset-Saturated Transition Cost Partitioning
D Drexler, J Seipp, D Speck
31st International Conference on Automated Planning and Scheduling (ICAPS 2021), 2021
22021
Symbolic Search for Oversubscription Planning
D Speck, M Katz
Proceedings of the AAAI Conference on Artificial Intelligence 35, 2021
22021
Trial-based Heuristic Tree Search for MDPs with Factored Action Spaces
F Geißer, D Speck, T Keller
Thirteenth Annual Symposium on Combinatorial Search, 2020
22020
On the Compilability and Expressive Power of State-Dependent Action Costs
D Speck, D Borukhson, R Mattmüller, B Nebel
31st International Conference on Automated Planning and Scheduling (ICAPS 2021), 2021
12021
Symbolic Search for Optimal Planning with Expressive Extensions
D Speck
University of Freiburg, 2022
2022
New Refinement Strategies for Cartesian Abstractions
D Speck, J Seipp
32nd International Conference on Automated Planning and Scheduling (ICAPS 2022), 2022
2022
Loopless Top-K Planning
J von Tschammer, R Mattmüller, D Speck
32nd International Conference on Automated Planning and Scheduling (ICAPS 2022), 2022
2022
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