Completed Theses

@thesis{maiworm2026,
  type    = {bathesis},
  title   = {From pixels to plans: Converting image observations of grid domains into plans},
  author  = {Maiworm, Louis},
  year    = {2026},
  month   = jan,
  school  = {RWTH Aachen University},
  advisor = {Reiter, Jonas},
  url     = {./theses/maiworm2026.pdf}
}

@thesis{koenig2025,
  type    = {bathesis},
  title   = {Learning General Policies for Qualitative Numeric Planning Problems},
  author  = {König, Marleen},
  year    = {2025},
  month   = nov,
  school  = {RWTH Aachen University},
  advisor = {Hofmann, Till},
  url     = {./theses/koenig2025.pdf}
}

@thesis{hesse2025,
  type    = {mathesis},
  title   = {On Limits of GNNs for Planning in Pushworld},
  author  = {Hesse, Yannik},
  year    = {2025},
  month   = oct,
  school  = {RWTH Aachen University},
  advisor = {Aichmüller, Michael},
  url     = {./theses/hesse2025.pdf}
}

@thesis{gebler2025,
  type    = {mathesis},
  title   = {Learning Graph-Based Symbolic State Representations for Planning from Images},
  author  = {Gebler, Jakob},
  year    = {2025},
  month   = oct,
  school  = {RWTH Aachen University},
  advisor = {Reiter, Jonas},
  url     = {./theses/gebler2025.pdf}
}

@thesis{hamm2025,
  type    = {bathesis},
  title   = {Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning},
  author  = {Hamm, Leon},
  year    = {2025},
  month   = sep,
  school  = {RWTH Aachen University},
  advisor = {Ajanović, Zlatan},
  url     = {./theses/hamm2025.pdf}
}

@thesis{diker2025,
  type    = {mathesis},
  title   = {Learning Robot Motion Policies for Pushing Objects that Generalize},
  author  = {Diker, Ümit},
  year    = {2025},
  month   = sep,
  school  = {RWTH Aachen University},
  advisor = {Swoboda, Daniel},
  url     = {./theses/diker2025.pdf}
}

@thesis{maheshwari2025,
  type    = {mathesis},
  title   = {Learning Symbolic State Descriptions From Images Using Scene Graph Generation},
  author  = {Maheshwari, Nirmal},
  year    = {2025},
  month   = jun,
  school  = {RWTH Aachen University},
  advisor = {Hofmann, Till},
  url     = {./theses/maheshwari2025.pdf}
}

@thesis{schulte2025,
  type    = {bathesis},
  title   = {Action Classification Through Dynamic Scene Graph Generation From ImageSequences},
  author  = {Schulte, Paul},
  year    = {2025},
  month   = jun,
  school  = {RWTH Aachen University},
  advisor = {Rakhman, Ulzhalgas},
  url     = {./theses/schulte2025.pdf}
}

@thesis{nagel2025,
  type    = {bathesis},
  title   = {Investigating Policy Gradient Methods for Rubik’s Cube},
  author  = {Nagel, Allegra},
  year    = {2025},
  month   = jun,
  school  = {RWTH Aachen University},
  advisor = {Theisen, Martin},
  url     = {./theses/nagel2025.pdf}
}

@thesis{dello2025,
  type    = {bathesis},
  title   = {Learning Critical Regions via Feasibility Constraints in Task and Motion Planning},
  author  = {Dello, Baran},
  year    = {2025},
  month   = may,
  school  = {RWTH Aachen University},
  advisor = {Ajanović, Zlatan},
  url     = {./theses/dello2025.pdf}
}

@thesis{becks2025,
  type    = {bathesis},
  title   = {Tail Reasoning in Classical Planning},
  author  = {Becks, Cedric},
  year    = {2025},
  month   = feb,
  school  = {RWTH Aachen University},
  advisor = {Gösgens, Jonas},
  url     = {./theses/becks2025.pdf}
}

@thesis{jansen2025,
  type    = {mathesis},
  title   = {Learning Lifted STRIPS Models from Partial Graphs with Reduced Action Labels},
  author  = {Jansen, Niklas},
  year    = {2025},
  month   = feb,
  school  = {RWTH Aachen University},
  advisor = {Gösgens, Jonas},
  url     = {./theses/jansen2025.pdf}
}

@thesis{dornhege2025,
  type    = {bathesis},
  title   = {Solving ARC as a Generalized Planning Problem using ASP},
  author  = {Dornhege, Jan},
  year    = {2025},
  month   = jan,
  school  = {RWTH Aachen University},
  advisor = {Geffner, Hector},
  url     = {./theses/dornhege2025.pdf}
}

@thesis{lu2025,
  type    = {bathesis},
  title   = {On Learning Representations in Model-Based Reinforcement Learning},
  author  = {Lu, Yingliu},
  year    = {2025},
  month   = jan,
  school  = {RWTH Aachen University},
  advisor = {Reiher, Jonas},
  url     = {./theses/lu2025.pdf}
}

@thesis{stante2024,
  type    = {bathesis},
  title   = {Exploring the Limits of Relational Graph Neural Networks in PushWorld},
  author  = {Stante, Samuel},
  year    = {2024},
  month   = sep,
  school  = {RWTH Aachen University},
  advisor = {Aichmüller, Michael},
  url     = {./theses/stante2024.pdf}
}

@thesis{abdelhamid2024,
  type    = {mathesis},
  title   = {Towards Generalizable Automated Driving: A Hierarchical Reinforcement Learning Approach with Engineered Low-Level Policies in a Scenario-Based Learning Environment},
  author  = {Abdelhamid, Mahmoud},
  year    = {2024},
  month   = aug,
  school  = {RWTH Aachen University},
  advisor = {Ajanović, Zlatan},
  url     = {./theses/abdelhamid2024.pdf}
}

@thesis{swoboda2024,
  type    = {mathesis},
  title   = {Jointly Learning Skill Execution and Domain Grounding for Robot Task and Motion Planning},
  author  = {Swoboda, Daniel},
  year    = {2024},
  month   = mar,
  school  = {RWTH Aachen University},
  advisor = {Hofmann, Till},
  url     = {./theses/swoboda2024.pdf}
}

@thesis{abdelhamid2024,
  type    = {mathesis},
  title   = {Towards Generalizable Automated Driving: A Hierarchical Reinforcement Learning Approach with Engineered Low-Level Policies in a Scenario-Based Learning Environment},
  author  = {Abdelhamid, Mahmoud},
  year    = {2024},
  month   = aug,
  school  = {RWTH Aachen University},
  advisor = {Ajanović, Zlatan},
  url     = {./theses/abdelhamid2024.pdf}
}

@thesis{becks2025,
  type    = {bathesis},
  title   = {Tail Reasoning in Classical Planning},
  author  = {Becks, Cedric},
  year    = {2025},
  month   = feb,
  school  = {RWTH Aachen University},
  advisor = {Gösgens, Jonas},
  url     = {./theses/becks2025.pdf}
}

@thesis{dello2025,
  type    = {bathesis},
  title   = {Learning Critical Regions via Feasibility Constraints in Task and Motion Planning},
  author  = {Dello, Baran},
  year    = {2025},
  month   = may,
  school  = {RWTH Aachen University},
  advisor = {Ajanović, Zlatan},
  url     = {./theses/dello2025.pdf}
}

@thesis{diker2025,
  type    = {mathesis},
  title   = {Learning Robot Motion Policies for Pushing Objects that Generalize},
  author  = {Diker, Ümit},
  year    = {2025},
  month   = sep,
  school  = {RWTH Aachen University},
  advisor = {Swoboda, Daniel},
  url     = {./theses/diker2025.pdf}
}

@thesis{dornhege2025,
  type    = {bathesis},
  title   = {Solving ARC as a Generalized Planning Problem using ASP},
  author  = {Dornhege, Jan},
  year    = {2025},
  month   = jan,
  school  = {RWTH Aachen University},
  advisor = {Geffner, Hector},
  url     = {./theses/dornhege2025.pdf}
}

@thesis{gebler2025,
  type    = {mathesis},
  title   = {Learning Graph-Based Symbolic State Representations for Planning from Images},
  author  = {Gebler, Jakob},
  year    = {2025},
  month   = oct,
  school  = {RWTH Aachen University},
  advisor = {Reiter, Jonas},
  url     = {./theses/gebler2025.pdf}
}

@thesis{hamm2025,
  type    = {bathesis},
  title   = {Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning},
  author  = {Hamm, Leon},
  year    = {2025},
  month   = sep,
  school  = {RWTH Aachen University},
  advisor = {Ajanović, Zlatan},
  url     = {./theses/hamm2025.pdf}
}

@thesis{hesse2025,
  type    = {mathesis},
  title   = {On Limits of GNNs for Planning in Pushworld},
  author  = {Hesse, Yannik},
  year    = {2025},
  month   = oct,
  school  = {RWTH Aachen University},
  advisor = {Aichmüller, Michael},
  url     = {./theses/hesse2025.pdf}
}

@thesis{jansen2025,
  type    = {mathesis},
  title   = {Learning Lifted STRIPS Models from Partial Graphs with Reduced Action Labels},
  author  = {Jansen, Niklas},
  year    = {2025},
  month   = feb,
  school  = {RWTH Aachen University},
  advisor = {Gösgens, Jonas},
  url     = {./theses/jansen2025.pdf}
}

@thesis{koenig2025,
  type    = {bathesis},
  title   = {Learning General Policies for Qualitative Numeric Planning Problems},
  author  = {König, Marleen},
  year    = {2025},
  month   = nov,
  school  = {RWTH Aachen University},
  advisor = {Hofmann, Till},
  url     = {./theses/koenig2025.pdf}
}

@thesis{lu2025,
  type    = {bathesis},
  title   = {On Learning Representations in Model-Based Reinforcement Learning},
  author  = {Lu, Yingliu},
  year    = {2025},
  month   = jan,
  school  = {RWTH Aachen University},
  advisor = {Reiher, Jonas},
  url     = {./theses/lu2025.pdf}
}

@thesis{maheshwari2025,
  type    = {mathesis},
  title   = {Learning Symbolic State Descriptions From Images Using Scene Graph Generation},
  author  = {Maheshwari, Nirmal},
  year    = {2025},
  month   = jun,
  school  = {RWTH Aachen University},
  advisor = {Hofmann, Till},
  url     = {./theses/maheshwari2025.pdf}
}

@thesis{maiworm2026,
  type    = {bathesis},
  title   = {From pixels to plans: Converting image observations of grid domains into plans},
  author  = {Maiworm, Louis},
  year    = {2026},
  month   = jan,
  school  = {RWTH Aachen University},
  advisor = {Reiter, Jonas},
  url     = {./theses/maiworm2026.pdf}
}

@thesis{nagel2025,
  type    = {bathesis},
  title   = {Investigating Policy Gradient Methods for Rubik’s Cube},
  author  = {Nagel, Allegra},
  year    = {2025},
  month   = jun,
  school  = {RWTH Aachen University},
  advisor = {Theisen, Martin},
  url     = {./theses/nagel2025.pdf}
}

@thesis{schulte2025,
  type    = {bathesis},
  title   = {Action Classification Through Dynamic Scene Graph Generation From ImageSequences},
  author  = {Schulte, Paul},
  year    = {2025},
  month   = jun,
  school  = {RWTH Aachen University},
  advisor = {Rakhman, Ulzhalgas},
  url     = {./theses/schulte2025.pdf}
}

@thesis{stante2024,
  type    = {bathesis},
  title   = {Exploring the Limits of Relational Graph Neural Networks in PushWorld},
  author  = {Stante, Samuel},
  year    = {2024},
  month   = sep,
  school  = {RWTH Aachen University},
  advisor = {Aichmüller, Michael},
  url     = {./theses/stante2024.pdf}
}

@thesis{swoboda2024,
  type    = {mathesis},
  title   = {Jointly Learning Skill Execution and Domain Grounding for Robot Task and Motion Planning},
  author  = {Swoboda, Daniel},
  year    = {2024},
  month   = mar,
  school  = {RWTH Aachen University},
  advisor = {Hofmann, Till},
  url     = {./theses/swoboda2024.pdf}
}

@thesis{maiworm2026,
  type    = {bathesis},
  title   = {From pixels to plans: Converting image observations of grid domains into plans},
  author  = {Maiworm, Louis},
  year    = {2026},
  month   = jan,
  school  = {RWTH Aachen University},
  advisor = {Reiter, Jonas},
  url     = {./theses/maiworm2026.pdf}
}

@thesis{koenig2025,
  type    = {bathesis},
  title   = {Learning General Policies for Qualitative Numeric Planning Problems},
  author  = {König, Marleen},
  year    = {2025},
  month   = nov,
  school  = {RWTH Aachen University},
  advisor = {Hofmann, Till},
  url     = {./theses/koenig2025.pdf}
}

@thesis{hamm2025,
  type    = {bathesis},
  title   = {Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning},
  author  = {Hamm, Leon},
  year    = {2025},
  month   = sep,
  school  = {RWTH Aachen University},
  advisor = {Ajanović, Zlatan},
  url     = {./theses/hamm2025.pdf}
}

@thesis{schulte2025,
  type    = {bathesis},
  title   = {Action Classification Through Dynamic Scene Graph Generation From ImageSequences},
  author  = {Schulte, Paul},
  year    = {2025},
  month   = jun,
  school  = {RWTH Aachen University},
  advisor = {Rakhman, Ulzhalgas},
  url     = {./theses/schulte2025.pdf}
}

@thesis{nagel2025,
  type    = {bathesis},
  title   = {Investigating Policy Gradient Methods for Rubik’s Cube},
  author  = {Nagel, Allegra},
  year    = {2025},
  month   = jun,
  school  = {RWTH Aachen University},
  advisor = {Theisen, Martin},
  url     = {./theses/nagel2025.pdf}
}

@thesis{dello2025,
  type    = {bathesis},
  title   = {Learning Critical Regions via Feasibility Constraints in Task and Motion Planning},
  author  = {Dello, Baran},
  year    = {2025},
  month   = may,
  school  = {RWTH Aachen University},
  advisor = {Ajanović, Zlatan},
  url     = {./theses/dello2025.pdf}
}

@thesis{becks2025,
  type    = {bathesis},
  title   = {Tail Reasoning in Classical Planning},
  author  = {Becks, Cedric},
  year    = {2025},
  month   = feb,
  school  = {RWTH Aachen University},
  advisor = {Gösgens, Jonas},
  url     = {./theses/becks2025.pdf}
}

@thesis{dornhege2025,
  type    = {bathesis},
  title   = {Solving ARC as a Generalized Planning Problem using ASP},
  author  = {Dornhege, Jan},
  year    = {2025},
  month   = jan,
  school  = {RWTH Aachen University},
  advisor = {Geffner, Hector},
  url     = {./theses/dornhege2025.pdf}
}

@thesis{lu2025,
  type    = {bathesis},
  title   = {On Learning Representations in Model-Based Reinforcement Learning},
  author  = {Lu, Yingliu},
  year    = {2025},
  month   = jan,
  school  = {RWTH Aachen University},
  advisor = {Reiher, Jonas},
  url     = {./theses/lu2025.pdf}
}

@thesis{stante2024,
  type    = {bathesis},
  title   = {Exploring the Limits of Relational Graph Neural Networks in PushWorld},
  author  = {Stante, Samuel},
  year    = {2024},
  month   = sep,
  school  = {RWTH Aachen University},
  advisor = {Aichmüller, Michael},
  url     = {./theses/stante2024.pdf}
}

@thesis{hesse2025,
  type    = {mathesis},
  title   = {On Limits of GNNs for Planning in Pushworld},
  author  = {Hesse, Yannik},
  year    = {2025},
  month   = oct,
  school  = {RWTH Aachen University},
  advisor = {Aichmüller, Michael},
  url     = {./theses/hesse2025.pdf}
}

@thesis{gebler2025,
  type    = {mathesis},
  title   = {Learning Graph-Based Symbolic State Representations for Planning from Images},
  author  = {Gebler, Jakob},
  year    = {2025},
  month   = oct,
  school  = {RWTH Aachen University},
  advisor = {Reiter, Jonas},
  url     = {./theses/gebler2025.pdf}
}

@thesis{diker2025,
  type    = {mathesis},
  title   = {Learning Robot Motion Policies for Pushing Objects that Generalize},
  author  = {Diker, Ümit},
  year    = {2025},
  month   = sep,
  school  = {RWTH Aachen University},
  advisor = {Swoboda, Daniel},
  url     = {./theses/diker2025.pdf}
}

@thesis{maheshwari2025,
  type    = {mathesis},
  title   = {Learning Symbolic State Descriptions From Images Using Scene Graph Generation},
  author  = {Maheshwari, Nirmal},
  year    = {2025},
  month   = jun,
  school  = {RWTH Aachen University},
  advisor = {Hofmann, Till},
  url     = {./theses/maheshwari2025.pdf}
}

@thesis{jansen2025,
  type    = {mathesis},
  title   = {Learning Lifted STRIPS Models from Partial Graphs with Reduced Action Labels},
  author  = {Jansen, Niklas},
  year    = {2025},
  month   = feb,
  school  = {RWTH Aachen University},
  advisor = {Gösgens, Jonas},
  url     = {./theses/jansen2025.pdf}
}

@thesis{abdelhamid2024,
  type    = {mathesis},
  title   = {Towards Generalizable Automated Driving: A Hierarchical Reinforcement Learning Approach with Engineered Low-Level Policies in a Scenario-Based Learning Environment},
  author  = {Abdelhamid, Mahmoud},
  year    = {2024},
  month   = aug,
  school  = {RWTH Aachen University},
  advisor = {Ajanović, Zlatan},
  url     = {./theses/abdelhamid2024.pdf}
}

@thesis{swoboda2024,
  type    = {mathesis},
  title   = {Jointly Learning Skill Execution and Domain Grounding for Robot Task and Motion Planning},
  author  = {Swoboda, Daniel},
  year    = {2024},
  month   = mar,
  school  = {RWTH Aachen University},
  advisor = {Hofmann, Till},
  url     = {./theses/swoboda2024.pdf}
}