About Me
I am a WASP PhD student at Linköping University. In the past, I have focused on state-of-the-art deep learning technologies in computer vision. Nowadays my main research interested has shifted to topics in planning.
Short bio
I did both my Bachelor's and Master's degree in Computer Science at the Dresden University of Technology. After a stay abroad I became a PhD student in the Machine Reasoning Lab, where I work on the Representation Learning for Acting and Planning project.
Publications
2026
Markus Fritzsche, David Speck, Daniel Gnad and Simon Ståhlberg.
Parallelizing Classical Planning: Critical Path Heuristics on the GPU.
In Proceedings of the 19th International Symposium on Combinatorial Search (SoCS 2026). 2026.
paper | slides | citationMarkus Fritzsche, Mikhail Gruntov, Alexander Shleyfman and Daniel Gnad.
Domain-Abstraction Heuristics for Simple Numeric Planning.
In Proceedings of the 19th International Symposium on Combinatorial Search (SoCS 2026). 2026.
paper | slides | citationArnaud Lequen, Oliver Joergensen, Windy Phung, Elliot Gestrin, Damien Van Meerbeeck, Markus Fritzsche, Dominik Drexler and Jendrik Seipp.
Planner Museum: Evaluating Classical Planners Over Time.
In Proceedings of the Thirty-Sixth International Conference on Automated Planning and Scheduling (ICAPS 2026). 2026.
paper | citationDominik Drexler, Markus Fritzsche, Farid Musayev and Simon Ståhlberg.
Prompt, Prove, Patch: The Neuro-Symbolic Loop for General Policy Synthesis.
In ICAPS 2026 Workshop on Reliability In Planning and Learning (RIPL). 2026.
paper | citationMarkus Fritzsche, David Speck, Daniel Gnad and Simon Ståhlberg.
Parallelizing Classical Planning: Critical Path Heuristics on the GPU.
In ICAPS 2026 Workshop on Heuristics and Search for Domain-independent Planning (HSDIP). 2026.
paper | slides | citationMarkus Fritzsche, Mikhail Gruntov, Alexander Shleyfman and Daniel Gnad.
Domain-Abstraction Heuristics for Simple Numeric Planning.
In ICAPS 2026 Workshop on Heuristics and Search for Domain-independent Planning (HSDIP). 2026.
paper | slides | citationMarkus Fritzsche, Elliot Gestrin and Jendrik Seipp.
Symmetry-Aware Transformer Training for Automated Planning.
In ICAPS 2026 Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL). 2026.
paper | slides | citationArman Mohammadi, Markus Fritzsche and Jendrik Seipp.
Towards Symbolic Planning via Diffusion.
In ICAPS 2026 Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL). 2026.
paper | citationMarkus Fritzsche, Elliot Gestrin and Jendrik Seipp.
Symmetry-Aware Transformer Training for Automated Planning.
In Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026), pp. 36236–36244. 2026.
paper | slides | poster | citationMarkus Fritzsche, Daniel Gnad, Mikhail Gruntov and Alexander Shleyfman.
Managing Infinite Abstractions in Numeric Pattern Database Heuristics.
In Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026), pp. 36227–36235. 2026.
paper | slides | poster | citation
2025
Markus Fritzsche, Elliot Gestrin and Jendrik Seipp.
Symmetry-Aware Transformer Training for Automated Planning.
In arXiv:2508.07743 [cs.AI]. 2025.
preprint | citation