Jendrik Seipp

Senior Associate Professor, Head of Unit

My main research interests are automated planning and its connections to machine learning.

Associate Professor in Artificial Intelligence

My main research interests are automated planning and its connections to machine learning.

I am an Associate Professor in artificial intelligence at the Department of Computer and Information Science. Together with Hector Geffner and Ulf Nilsson, I lead the "Representation, Learning and Planning" lab in the AIICS division.

CV (in brief)

Short bio

I received my MSc in computer science from the University of Freiburg, Germany, in December 2012. In March 2018, I completed my PhD under the supervision of Professor Malte Helmert with the Artificial Intelligence group at the University of Basel, Switzerland. Afterwards, I stayed on as a postdoc until I became assistant professor at Linköping University, Sweden, in January 2021.

Education and Academic Degrees

Docent in Computer Science, Linköping University, Sweden. September 2022.
Ph.D. degree from University of Basel, Switzerland. February 2018.
M.Sc. in Computer Science from University of Freiburg, Germany. December 2012.
B.Sc. in computer science from University of Freiburg, Germany. September 2009.

Software

Planning system: Fast Downward
Optimal classical planner: Scorpion
Experiment framework: Downward Lab

Tutorials

ICAPS 2020 tutorial Evaluating Planners with Downward Lab
ICAPS 2015 tutorial Latest Trends in Abstraction Heuristics for Classical Planning

Awards

4x First Place, 3x Second Place, 1x Third Place (in nine tracks) at the First CoRe Challenge at the ICALP 2022 Workshop on Combinatorial Reconfiguration, Paris, for the system PARIS: Planning Algorithms for Reconfiguring Independent Sets
Second Place, System Demonstrations Track at the 32th International Conference on Automated Planning and Scheduling (ICAPS 2022) at the 32th International Conference on Automated Planning and Scheduling (ICAPS 2022) for the system Planutils: Bringing Planning to the Masses
IJCAI 2021 Distinguished Paper Award at the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) for the paper Learning Generalized Unsolvability Heuristics for Classical Planning
ICAPS 2020 Best Dissertation Award at the 30th International Conference on Automated Planning and Scheduling (ICAPS 2020) for the doctoral thesis Counterexample-guided Cartesian Abstraction Refinement and Saturated Cost Partitioning for Optimal Classical Planning
SoCS 2020 Best Paper Award at the 13th International Symposium on Combinatorial Search (SoCS 2020) for the paper An Atom-Centric Perspective on Stubborn Sets
Winner, Deterministic Sequential Satisficing Track at the 9th International Planning Competition (IPC 2018) at ICAPS 2018 for the planning system Fast Downward Stone Soup 2018
Winner, Deterministic Sequential Cost-Bounded Track at the 9th International Planning Competition (IPC 2018) at ICAPS 2018 for the planning system Fast Downward Stone Soup 2018

SoCS 2017 Best Student Paper Award at the 10th Annual Symposium on Combinatorial Search (SoCS 2017) for the paper Better Orders for Saturated Cost Partitioning in Optimal Classical Planning
Winner, Unsolvability IPC 2016 at the 1st Unsolvability International Planning Competition (UIPC 2016) at ICAPS 2016 for the planning system Fast Downward Aidos
AAAI 2015 Outstanding Paper Award at the 29th AAAI Conference on Artificial Intelligence (AAAI 2015) for the paper From Non-Negative to General Operator Cost Partitioning
Runner-Up and "Best Learner" Award, Learning Track at the 8th International Planning Competition (IPC 2014) at ICAPS 2014 for the planning system Fast Downward Cedalion
Third Place and "Best Basic Solver" Award, Learning Track at the 8th International Planning Competition (IPC 2014) at ICAPS 2014 for the planning system Fast Downward SMAC
Winner, Deterministic Sequential Optimization Track at the 7th International Planning Competition (IPC 2011) at ICAPS 2011 for the planning system Fast Downward Stone Soup-1
Runner-Up, Deterministic Sequential Satisficing Track at the 7th International Planning Competition (IPC 2011) at ICAPS 2011 for the planning system Fast Downward Stone Soup
Runner-Up, Learning Track at the 7th International Planning Competition (IPC 2011) at ICAPS 2011 for the planning system Fast Downward Autotune-speed

Publications

2024

Paul Höft, David Speck, David Speck, Jendrik Seipp, Florian Pommerening (2024) Versatile Cost Partitioning with Exact Sensitivity Analysis Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling (ICAPS 2024), p. 276-280 (Conference paper)

Kristina Levina, Nikolaos Pappas, Athanasios Karapantelakis, Aneta Vulgarakis Feljan, Jendrik Seipp (2024) Numeric Reward Machines Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (Conference paper)

Jendrik Seipp (2024) Efficiently Computing Transitions in Cartesian Abstractions Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling (ICAPS 2024) (Conference paper)

Continue to DOI

Augusto B. Corrêa, Jendrik Seipp (2024) Consolidating LAMA with Best-First Width Search ICAPS 2024 Workshop on Heuristics and Search for Domain-independent Planning (HSDIP) (Conference paper)

Clemens Büchner, Patrick Ferber, Jendrik Seipp, Malte Helmert (2024) Abstraction Heuristics for Factored Tasks Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling (ICAPS 2024), p. 40-49 (Conference paper)

Continue to DOI

News

LiU researchers win AI award with explainable solutions

Two researchers working in AI at Linköping University, together with a researcher in Barcelona, have won the prestigious “IJCAI Distinguished Paper Award”.

Research

robot dog Spot, drone, small helicopter, operator

WASP at Department of Computer and Information Science (IDA)

WASP, Wallenberg AI autonomous systems and software program, is the largest individual research investment in Sweden in modern times. One of the WASP research environments at LiU is located at the Department of Computer and Information Science.

About the division

The robotdog Spot hands over a first aid kit to a kneeling man

Artificial Intelligence and Integrated Computer Systems (AIICS)

The AIICS division is part of the Department of Computer and Information Science. The division's main focus is research and teaching in artificial intelligence, its theoretical foundations and its applications.