Completed Theses
▼ 2026 (10)
Generalized Planning with Lifted Temporal Goals
Chanjuan Huang
Master’s thesis - RWTH Aachen University
PDF
@thesis{hamm2026,
type = {mathesis},
title = {Generalized Planning with Lifted Temporal Goals},
author = {Huang, Chanjuan},
year = {2026},
school = {RWTH Aachen University},
advisor = {Hofmann, Till},
url = {https://ml.rwth-aachen.de/theses/huang2026.pdf}
}
Integrating Symbolic Planning and Continuous Control via Multi-Modal Goal Embeddings
Fabian Hamm
Master’s thesis - RWTH Aachen University
PDF
@thesis{hamm2026,
type = {mathesis},
title = {Integrating Symbolic Planning and Continuous Control via Multi-Modal Goal Embeddings},
author = {Hamm, Fabian},
year = {2026},
school = {RWTH Aachen University},
advisor = {Swoboda, Daniel},
url = {https://ml.rwth-aachen.de/theses/hamm2026.pdf}
}
Learning Description Logic Formulas via Gradient Descent
Jan Dornhege
Master’s thesis - RWTH Aachen University
PDF
@thesis{dornhege2026,
type = {mathesis},
title = {Learning Description Logic Formulas via Gradient Descent},
author = {Dornhege, Jan},
year = {2026},
school = {RWTH Aachen University},
advisor = {Jansen, Niklas},
url = {https://ml.rwth-aachen.de/theses/dornhege2026.pdf}
}
Semantic Space Abstractions for Partially Observable Deterministic Task and Motion Planning
Hani Alassiri Alhabboub
Master’s thesis - RWTH Aachen University
PDF
@thesis{alassiri2026,
type = {mathesis},
title = {Semantic Space Abstractions for Partially Observable Deterministic Task and Motion Planning},
author = {Alassiri Alhabboub, Hani},
year = {2026},
school = {RWTH Aachen University},
advisor = {Hofmann, Daniel},
url = {https://ml.rwth-aachen.de/theses/alassiri2026.pdf}
}
Open-World Robotic Assembly with Physically Feasible Planning
Wenbo Ma
Bachelor’s thesis - RWTH Aachen University
PDF
@thesis{ma2026,
type = {bathesis},
title = {Open-World Robotic Assembly with Physically Feasible Planning},
author = {Ma, Wenbo},
year = {2026},
month = may,
school = {RWTH Aachen University},
advisor = {Swoboda, Daniel},
url = {https://ml.rwth-aachen.de/theses/ma2026.pdf}
}
Logical Distillation of General Policies From GNNs
Dominik Hoenzelaer
Master’s thesis - RWTH Aachen University
PDF
@thesis{hoenzelaer2026,
type = {mathesis},
title = {Logical Distillation of General Policies From GNNs},
author = {Hoenzelaer, Dominik},
year = {2026},
month = mar,
school = {RWTH Aachen University},
advisor = {Jansen, Niklas},
url = {https://ml.rwth-aachen.de/theses/hoenzelaer2026.pdf}
}
Learning General Policies for Partially Observable Deterministic (POD) Planning
Samridhi Kalra
Master’s thesis - RWTH Aachen University
PDF
@thesis{kalra2026,
type = {mathesis},
title = {Learning General Policies for Partially Observable Deterministic (POD) Planning},
author = {Kalra, Samridhi},
year = {2026},
month = feb,
school = {RWTH Aachen University},
advisor = {Hofmann, Till},
url = {https://ml.rwth-aachen.de/theses/kalra2026.pdf}
}
Learning Action Preconditions from State-Action Traces using Inductive Logic Programming
Xiaolu Zhang
Master’s thesis - RWTH Aachen University
PDF
@thesis{zhang2026,
type = {mathesis},
title = {Learning Action Preconditions from State-Action Traces using Inductive Logic Programming},
author = {Zhang, Xiaolu},
year = {2026},
month = feb,
school = {RWTH Aachen University},
advisor = {Gösgens, Jonas},
url = {https://ml.rwth-aachen.de/theses/zhang2026.pdf}
}
Sketches and IW(1) exploration in Atari Games
Aaditya Mehta
Bachelor’s thesis - RWTH Aachen University
PDF
@thesis{mehta2026,
type = {bathesis},
title = {Sketches and IW(1) exploration in Atari Games},
author = {Mehta, Aaditya},
year = {2026},
month = feb,
school = {RWTH Aachen University},
advisor = {Jansen, Niklas},
url = {https://ml.rwth-aachen.de/theses/mehta2026.pdf}
}
From pixels to plans: Converting image observations of grid domains into plans
Louis Maiworm
Bachelor’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/maiworm2026.pdf}
}
▼ 2025 (13)
Learning General Policies for Qualitative Numeric Planning Problems
Marleen König
Bachelor’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/koenig2025.pdf}
}
On Limits of GNNs for Planning in Pushworld
Yannik Hesse
Master’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/hesse2025.pdf}
}
Learning Graph-Based Symbolic State Representations for Planning from Images
Jakob Gebler
Master’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/gebler2025.pdf}
}
Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning
Leon Hamm
Bachelor’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/hamm2025.pdf}
}
Learning Robot Motion Policies for Pushing Objects that Generalize
Ümit Diker
Master’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/diker2025.pdf}
}
Learning Symbolic State Descriptions From Images Using Scene Graph Generation
Nirmal Maheshwari
Master’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/maheshwari2025.pdf}
}
Action Classification Through Dynamic Scene Graph Generation From ImageSequences
Paul Schulte
Bachelor’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/schulte2025.pdf}
}
Investigating Policy Gradient Methods for Rubik’s Cube
Allegra Nagel
Bachelor’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/nagel2025.pdf}
}
Learning Critical Regions via Feasibility Constraints in Task and Motion Planning
Baran Dello
Bachelor’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/dello2025.pdf}
}
Tail Reasoning in Classical Planning
Cedric Becks
Bachelor’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/becks2025.pdf}
}
Learning Lifted STRIPS Models from Partial Graphs with Reduced Action Labels
Niklas Jansen
Master’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/jansen2025.pdf}
}
Solving ARC as a Generalized Planning Problem using ASP
Jan Dornhege
Bachelor’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/dornhege2025.pdf}
}
On Learning Representations in Model-Based Reinforcement Learning
Yingliu Lu
Bachelor’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/lu2025.pdf}
}
▼ 2024 (3)
Exploring the Limits of Relational Graph Neural Networks in PushWorld
Samuel Stante
Bachelor’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/stante2024.pdf}
}
Towards Generalizable Automated Driving: A Hierarchical Reinforcement Learning Approach with Engineered Low-Level Policies in a Scenario-Based Learning Environment
Mahmoud Abdelhamid
Master’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/abdelhamid2024.pdf}
}
Jointly Learning Skill Execution and Domain Grounding for Robot Task and Motion Planning
Daniel Swoboda
Master’s thesis - RWTH Aachen University
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 = {https://ml.rwth-aachen.de/theses/swoboda2024.pdf}
}
▼ Abdelhamid, Mahmoud (1)
Towards Generalizable Automated Driving: A Hierarchical Reinforcement Learning Approach with Engineered Low-Level Policies in a Scenario-Based Learning Environment
2024 | Master’s thesis
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 = {https://ml.rwth-aachen.de/theses/abdelhamid2024.pdf}
}
▼ Alassiri Alhabboub, Hani (1)
Semantic Space Abstractions for Partially Observable Deterministic Task and Motion Planning
2026 | Master’s thesis
PDF
@thesis{alassiri2026,
type = {mathesis},
title = {Semantic Space Abstractions for Partially Observable Deterministic Task and Motion Planning},
author = {Alassiri Alhabboub, Hani},
year = {2026},
school = {RWTH Aachen University},
advisor = {Hofmann, Daniel},
url = {https://ml.rwth-aachen.de/theses/alassiri2026.pdf}
}
▼ Becks, Cedric (1)
Tail Reasoning in Classical Planning
2025 | Bachelor’s thesis
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 = {https://ml.rwth-aachen.de/theses/becks2025.pdf}
}
▼ Dello, Baran (1)
Learning Critical Regions via Feasibility Constraints in Task and Motion Planning
2025 | Bachelor’s thesis
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 = {https://ml.rwth-aachen.de/theses/dello2025.pdf}
}
▼ Diker, Ümit (1)
Learning Robot Motion Policies for Pushing Objects that Generalize
2025 | Master’s thesis
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 = {https://ml.rwth-aachen.de/theses/diker2025.pdf}
}
▼ Dornhege, Jan (2)
Learning Description Logic Formulas via Gradient Descent
2026 | Master’s thesis
PDF
@thesis{dornhege2026,
type = {mathesis},
title = {Learning Description Logic Formulas via Gradient Descent},
author = {Dornhege, Jan},
year = {2026},
school = {RWTH Aachen University},
advisor = {Jansen, Niklas},
url = {https://ml.rwth-aachen.de/theses/dornhege2026.pdf}
}
Solving ARC as a Generalized Planning Problem using ASP
2025 | Bachelor’s thesis
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 = {https://ml.rwth-aachen.de/theses/dornhege2025.pdf}
}
▼ Gebler, Jakob (1)
Learning Graph-Based Symbolic State Representations for Planning from Images
2025 | Master’s thesis
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 = {https://ml.rwth-aachen.de/theses/gebler2025.pdf}
}
▼ Hamm, Fabian (1)
Integrating Symbolic Planning and Continuous Control via Multi-Modal Goal Embeddings
2026 | Master’s thesis
PDF
@thesis{hamm2026,
type = {mathesis},
title = {Integrating Symbolic Planning and Continuous Control via Multi-Modal Goal Embeddings},
author = {Hamm, Fabian},
year = {2026},
school = {RWTH Aachen University},
advisor = {Swoboda, Daniel},
url = {https://ml.rwth-aachen.de/theses/hamm2026.pdf}
}
▼ Hamm, Leon (1)
Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning
2025 | Bachelor’s thesis
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 = {https://ml.rwth-aachen.de/theses/hamm2025.pdf}
}
▼ Hesse, Yannik (1)
On Limits of GNNs for Planning in Pushworld
2025 | Master’s thesis
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 = {https://ml.rwth-aachen.de/theses/hesse2025.pdf}
}
▼ Hoenzelaer, Dominik (1)
Logical Distillation of General Policies From GNNs
2026 | Master’s thesis
PDF
@thesis{hoenzelaer2026,
type = {mathesis},
title = {Logical Distillation of General Policies From GNNs},
author = {Hoenzelaer, Dominik},
year = {2026},
month = mar,
school = {RWTH Aachen University},
advisor = {Jansen, Niklas},
url = {https://ml.rwth-aachen.de/theses/hoenzelaer2026.pdf}
}
▼ Huang, Chanjuan (1)
Generalized Planning with Lifted Temporal Goals
2026 | Master’s thesis
PDF
@thesis{hamm2026,
type = {mathesis},
title = {Generalized Planning with Lifted Temporal Goals},
author = {Huang, Chanjuan},
year = {2026},
school = {RWTH Aachen University},
advisor = {Hofmann, Till},
url = {https://ml.rwth-aachen.de/theses/huang2026.pdf}
}
▼ Jansen, Niklas (1)
Learning Lifted STRIPS Models from Partial Graphs with Reduced Action Labels
2025 | Master’s thesis
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 = {https://ml.rwth-aachen.de/theses/jansen2025.pdf}
}
▼ Kalra, Samridhi (1)
Learning General Policies for Partially Observable Deterministic (POD) Planning
2026 | Master’s thesis
PDF
@thesis{kalra2026,
type = {mathesis},
title = {Learning General Policies for Partially Observable Deterministic (POD) Planning},
author = {Kalra, Samridhi},
year = {2026},
month = feb,
school = {RWTH Aachen University},
advisor = {Hofmann, Till},
url = {https://ml.rwth-aachen.de/theses/kalra2026.pdf}
}
▼ König, Marleen (1)
Learning General Policies for Qualitative Numeric Planning Problems
2025 | Bachelor’s thesis
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 = {https://ml.rwth-aachen.de/theses/koenig2025.pdf}
}
▼ Lu, Yingliu (1)
On Learning Representations in Model-Based Reinforcement Learning
2025 | Bachelor’s thesis
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 = {https://ml.rwth-aachen.de/theses/lu2025.pdf}
}
▼ Ma, Wenbo (1)
Open-World Robotic Assembly with Physically Feasible Planning
2026 | Bachelor’s thesis
PDF
@thesis{ma2026,
type = {bathesis},
title = {Open-World Robotic Assembly with Physically Feasible Planning},
author = {Ma, Wenbo},
year = {2026},
month = may,
school = {RWTH Aachen University},
advisor = {Swoboda, Daniel},
url = {https://ml.rwth-aachen.de/theses/ma2026.pdf}
}
▼ Maheshwari, Nirmal (1)
Learning Symbolic State Descriptions From Images Using Scene Graph Generation
2025 | Master’s thesis
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 = {https://ml.rwth-aachen.de/theses/maheshwari2025.pdf}
}
▼ Maiworm, Louis (1)
From pixels to plans: Converting image observations of grid domains into plans
2026 | Bachelor’s thesis
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 = {https://ml.rwth-aachen.de/theses/maiworm2026.pdf}
}
▼ Mehta, Aaditya (1)
Sketches and IW(1) exploration in Atari Games
2026 | Bachelor’s thesis
PDF
@thesis{mehta2026,
type = {bathesis},
title = {Sketches and IW(1) exploration in Atari Games},
author = {Mehta, Aaditya},
year = {2026},
month = feb,
school = {RWTH Aachen University},
advisor = {Jansen, Niklas},
url = {https://ml.rwth-aachen.de/theses/mehta2026.pdf}
}
▼ Nagel, Allegra (1)
Investigating Policy Gradient Methods for Rubik’s Cube
2025 | Bachelor’s thesis
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 = {https://ml.rwth-aachen.de/theses/nagel2025.pdf}
}
▼ Schulte, Paul (1)
Action Classification Through Dynamic Scene Graph Generation From ImageSequences
2025 | Bachelor’s thesis
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 = {https://ml.rwth-aachen.de/theses/schulte2025.pdf}
}
▼ Stante, Samuel (1)
Exploring the Limits of Relational Graph Neural Networks in PushWorld
2024 | Bachelor’s thesis
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 = {https://ml.rwth-aachen.de/theses/stante2024.pdf}
}
▼ Swoboda, Daniel (1)
Jointly Learning Skill Execution and Domain Grounding for Robot Task and Motion Planning
2024 | Master’s thesis
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 = {https://ml.rwth-aachen.de/theses/swoboda2024.pdf}
}
▼ Zhang, Xiaolu (1)
Learning Action Preconditions from State-Action Traces using Inductive Logic Programming
2026 | Master’s thesis
PDF
@thesis{zhang2026,
type = {mathesis},
title = {Learning Action Preconditions from State-Action Traces using Inductive Logic Programming},
author = {Zhang, Xiaolu},
year = {2026},
month = feb,
school = {RWTH Aachen University},
advisor = {Gösgens, Jonas},
url = {https://ml.rwth-aachen.de/theses/zhang2026.pdf}
}
▼ Bachelor’s thesis (12)
Open-World Robotic Assembly with Physically Feasible Planning
Wenbo Ma
2026
PDF
@thesis{ma2026,
type = {bathesis},
title = {Open-World Robotic Assembly with Physically Feasible Planning},
author = {Ma, Wenbo},
year = {2026},
month = may,
school = {RWTH Aachen University},
advisor = {Swoboda, Daniel},
url = {https://ml.rwth-aachen.de/theses/ma2026.pdf}
}
Sketches and IW(1) exploration in Atari Games
Aaditya Mehta
2026
PDF
@thesis{mehta2026,
type = {bathesis},
title = {Sketches and IW(1) exploration in Atari Games},
author = {Mehta, Aaditya},
year = {2026},
month = feb,
school = {RWTH Aachen University},
advisor = {Jansen, Niklas},
url = {https://ml.rwth-aachen.de/theses/mehta2026.pdf}
}
From pixels to plans: Converting image observations of grid domains into plans
Louis Maiworm
2026
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 = {https://ml.rwth-aachen.de/theses/maiworm2026.pdf}
}
Learning General Policies for Qualitative Numeric Planning Problems
Marleen König
2025
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 = {https://ml.rwth-aachen.de/theses/koenig2025.pdf}
}
Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning
Leon Hamm
2025
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 = {https://ml.rwth-aachen.de/theses/hamm2025.pdf}
}
Action Classification Through Dynamic Scene Graph Generation From ImageSequences
Paul Schulte
2025
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 = {https://ml.rwth-aachen.de/theses/schulte2025.pdf}
}
Investigating Policy Gradient Methods for Rubik’s Cube
Allegra Nagel
2025
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 = {https://ml.rwth-aachen.de/theses/nagel2025.pdf}
}
Learning Critical Regions via Feasibility Constraints in Task and Motion Planning
Baran Dello
2025
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 = {https://ml.rwth-aachen.de/theses/dello2025.pdf}
}
Tail Reasoning in Classical Planning
Cedric Becks
2025
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 = {https://ml.rwth-aachen.de/theses/becks2025.pdf}
}
Solving ARC as a Generalized Planning Problem using ASP
Jan Dornhege
2025
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 = {https://ml.rwth-aachen.de/theses/dornhege2025.pdf}
}
On Learning Representations in Model-Based Reinforcement Learning
Yingliu Lu
2025
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 = {https://ml.rwth-aachen.de/theses/lu2025.pdf}
}
Exploring the Limits of Relational Graph Neural Networks in PushWorld
Samuel Stante
2024
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 = {https://ml.rwth-aachen.de/theses/stante2024.pdf}
}
▼ Master’s thesis (14)
Generalized Planning with Lifted Temporal Goals
Chanjuan Huang
2026
PDF
@thesis{hamm2026,
type = {mathesis},
title = {Generalized Planning with Lifted Temporal Goals},
author = {Huang, Chanjuan},
year = {2026},
school = {RWTH Aachen University},
advisor = {Hofmann, Till},
url = {https://ml.rwth-aachen.de/theses/huang2026.pdf}
}
Integrating Symbolic Planning and Continuous Control via Multi-Modal Goal Embeddings
Fabian Hamm
2026
PDF
@thesis{hamm2026,
type = {mathesis},
title = {Integrating Symbolic Planning and Continuous Control via Multi-Modal Goal Embeddings},
author = {Hamm, Fabian},
year = {2026},
school = {RWTH Aachen University},
advisor = {Swoboda, Daniel},
url = {https://ml.rwth-aachen.de/theses/hamm2026.pdf}
}
Learning Description Logic Formulas via Gradient Descent
Jan Dornhege
2026
PDF
@thesis{dornhege2026,
type = {mathesis},
title = {Learning Description Logic Formulas via Gradient Descent},
author = {Dornhege, Jan},
year = {2026},
school = {RWTH Aachen University},
advisor = {Jansen, Niklas},
url = {https://ml.rwth-aachen.de/theses/dornhege2026.pdf}
}
Semantic Space Abstractions for Partially Observable Deterministic Task and Motion Planning
Hani Alassiri Alhabboub
2026
PDF
@thesis{alassiri2026,
type = {mathesis},
title = {Semantic Space Abstractions for Partially Observable Deterministic Task and Motion Planning},
author = {Alassiri Alhabboub, Hani},
year = {2026},
school = {RWTH Aachen University},
advisor = {Hofmann, Daniel},
url = {https://ml.rwth-aachen.de/theses/alassiri2026.pdf}
}
Logical Distillation of General Policies From GNNs
Dominik Hoenzelaer
2026
PDF
@thesis{hoenzelaer2026,
type = {mathesis},
title = {Logical Distillation of General Policies From GNNs},
author = {Hoenzelaer, Dominik},
year = {2026},
month = mar,
school = {RWTH Aachen University},
advisor = {Jansen, Niklas},
url = {https://ml.rwth-aachen.de/theses/hoenzelaer2026.pdf}
}
Learning General Policies for Partially Observable Deterministic (POD) Planning
Samridhi Kalra
2026
PDF
@thesis{kalra2026,
type = {mathesis},
title = {Learning General Policies for Partially Observable Deterministic (POD) Planning},
author = {Kalra, Samridhi},
year = {2026},
month = feb,
school = {RWTH Aachen University},
advisor = {Hofmann, Till},
url = {https://ml.rwth-aachen.de/theses/kalra2026.pdf}
}
Learning Action Preconditions from State-Action Traces using Inductive Logic Programming
Xiaolu Zhang
2026
PDF
@thesis{zhang2026,
type = {mathesis},
title = {Learning Action Preconditions from State-Action Traces using Inductive Logic Programming},
author = {Zhang, Xiaolu},
year = {2026},
month = feb,
school = {RWTH Aachen University},
advisor = {Gösgens, Jonas},
url = {https://ml.rwth-aachen.de/theses/zhang2026.pdf}
}
On Limits of GNNs for Planning in Pushworld
Yannik Hesse
2025
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 = {https://ml.rwth-aachen.de/theses/hesse2025.pdf}
}
Learning Graph-Based Symbolic State Representations for Planning from Images
Jakob Gebler
2025
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 = {https://ml.rwth-aachen.de/theses/gebler2025.pdf}
}
Learning Robot Motion Policies for Pushing Objects that Generalize
Ümit Diker
2025
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 = {https://ml.rwth-aachen.de/theses/diker2025.pdf}
}
Learning Symbolic State Descriptions From Images Using Scene Graph Generation
Nirmal Maheshwari
2025
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 = {https://ml.rwth-aachen.de/theses/maheshwari2025.pdf}
}
Learning Lifted STRIPS Models from Partial Graphs with Reduced Action Labels
Niklas Jansen
2025
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 = {https://ml.rwth-aachen.de/theses/jansen2025.pdf}
}
Towards Generalizable Automated Driving: A Hierarchical Reinforcement Learning Approach with Engineered Low-Level Policies in a Scenario-Based Learning Environment
Mahmoud Abdelhamid
2024
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 = {https://ml.rwth-aachen.de/theses/abdelhamid2024.pdf}
}
Jointly Learning Skill Execution and Domain Grounding for Robot Task and Motion Planning
Daniel Swoboda
2024
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 = {https://ml.rwth-aachen.de/theses/swoboda2024.pdf}
}