Jendrik Seipp
You can find up-to-date information on my new homepage.
M.Sc. Student
Department of Computer Science
University of Freiburg
Publications:
- Jendrik Seipp, Manuel Braun, Johannes Garimort, Malte Helmert
Learning Portfolios of Automatically Tuned Planners
Proceedings of the 22nd International Conference on Automated Planning and Scheduling (2012)
(Technical Report) - Jendrik Seipp, Malte Helmert
Fluent Merging for Classical Planning Problems
ICAPS 2011 Workshop on Knowledge Engineering for Planning and Scheduling - Chris Fawcett, Malte Helmert, Holger H. Hoos, Erez Karpas, Gabriele Röger,
Jendrik Seipp
FD-Autotune: Domain-Specific Configuration using Fast Downward
ICAPS 2011 Workshop on Planning and Learning - Jendrik Seipp
Fluent Merging for classical planning problems (B.Sc. Thesis) September, 2009
Fluent merging is a reformulation technique for classical planning problems that can be applied automatically or semi-automatically. The reformulation strives to transform a planning task into a representation that allows a planning algorithm to find solutions more efficiently or to find solutions of better quality. This work introduces different approaches for fluent merging and evaluates them within state-of-the-art planning systems.
Vocational Projects:
- Fast Downward, a domain-independent planning system
- lab, a Python package for algorithm experiments
Personal Projects:
- RedNotebook, a digital journal
- Pogo, probably the simplest and fastest Linux audio player
- Memo, a simple learning application (German)