David Speck
David Speck
PhD researcher at University of Freiburg
Bestätigte E-Mail-Adresse bei informatik.uni-freiburg.de
Titel
Zitiert von
Zitiert von
Jahr
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
812017
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
162018
SYMPLE: Symbolic Planning based on EVMDDs
D Speck, R Geißer, Florian Mattmüller
Ninth International Planning Competition (IPC-9): planner abstracts, 91-94, 2018
102018
Symbolic top-k planning
D Speck, R Mattmüller, B Nebel
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9967-9974, 2020
92020
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
92017
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
62020
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
42020
PROST-DD-Utilizing Symbolic Classical Planning in THTS
F Geißer, D Speck
Sixth International Probabilistic Planning Competition (IPPC-6): planner …, 2018
42018
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
32019
Necessary Observations in Nondeterministic Planning
D Speck, M Ortlieb, R Mattmüller
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2015
32015
Symbolic Search for Optimal Total-Order HTN Planning
G Behnke, D Speck
Proceedings of the AAAI Conference on Artificial Intelligence 35, 2021
22021
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
22019
Symbolic Planning with Axioms
D Speck, F Geißer, R Mattmüller, A Torralba
29th International Conference on Automated Planning and Scheduling (ICAPS …, 2019
22019
Subset-Saturated Transition Cost Partitioning
D Drexler, J Seipp, D Speck
31st International Conference on Automated Planning and Scheduling (ICAPS 2021), 2021
2021
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
2021
Symbolic Search for Oversubscription Planning
D Speck, M Katz
Proceedings of the AAAI Conference on Artificial Intelligence 35, 2021
2021
Subset-Saturated Transition Cost Partitioning for Optimal Classical Planning
D Drexler, D Speck, R Mattmüller
Proceedings of the ICAPS 2020 Workshop on Heuristics and Search for Domain …, 2020
2020
Trial-based Heuristic Tree Search for MDPs with Factored Action Spaces
F Geißer, D Speck, T Keller
Thirteenth Annual Symposium on Combinatorial Search, 2020
2020
Biomimetics meets Sustainability
O Speck, R Horn, D Speck, J Gantner, P Leistner
Bionik: Patente aus der Natur. Tagungsbeiträge zum 9. Bionik-Kongress in …, 2019
2019
Symbolic Planning with Edge-Valued Multi-Valued Decision Diagrams - Masterthesis
D Speck
2018
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