Dominik Drexler
PhD Student
About Me
I am a WASP PhD student at Linköping University. My main research interest is the integration of learning and automated planning. More specifically, the problem of learning reusable control knowledge as representations of target languages that is suitable for finding goal achieving action sequences.
Short bio
I finished my bachelor's and master's degree in computer science at the University of Freiburg in 2017 and 2020 respectively. Since November 2020, I am part of the "Representation, Learning and Planning" lab and the "Representation Learning for Acting and Planning" project.
Publications
2022
Dominik Drexler, Javier Segovia-Aguas and Jendrik Seipp.
Learning General Policies and Helpful Action Classifiers from Partial State Spaces.
In IJCAI 2022 Workshop on Generalization in Planning. 2022.
paper slides citationDominik Drexler, Jendrik Seipp and Hector Geffner.
Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width.
In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022), pp. 62–70. 2022.
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2021
Dominik Drexler, Jendrik Seipp and Hector Geffner.
Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches.
In Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning (KR 2021), pp. 258–268. 2021.
paper slides recording poster citationDominik Drexler, Jendrik Seipp and David Speck.
Subset-Saturated Transition Cost Partitioning.
In Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling (ICAPS 2021), pp. 131–139. 2021.
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