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)