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\n\n \n \n \n \n \n \n On Limits of GNNs for Planning in Pushworld.\n \n \n \n \n\n\n \n Hesse, Y.\n\n\n \n\n\n\n Master's thesis, RWTH Aachen University, October 2025.\n
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@thesis{hesse2025,\n type = {mathesis},\n title = {On Limits of GNNs for Planning in Pushworld},\n author = {Hesse, Yannik},\n year = {2025},\n month = oct,\n school = {RWTH Aachen University},\n advisor = {Aichmüller, Michael},\n url = {./theses/hesse2025.pdf}\n}\n\n\n
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\n\n \n \n \n \n \n \n Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning.\n \n \n \n \n\n\n \n Hamm, L.\n\n\n \n\n\n\n Bachelor's thesis, RWTH Aachen University, September 2025.\n
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@thesis{hamm2025,\n type = {bathesis},\n title = {Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning},\n author = {Hamm, Leon},\n year = {2025},\n month = sep,\n school = {RWTH Aachen University},\n advisor = {Ajanović, Zlatan},\n url = {./theses/hamm2025.pdf}\n}\n\n\n
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\n\n \n \n \n \n \n \n Learning Robot Motion Policies for Pushing Objects that Generalize.\n \n \n \n \n\n\n \n Diker, Ü.\n\n\n \n\n\n\n Master's thesis, RWTH Aachen University, September 2025.\n
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@thesis{diker2025,\n type = {mathesis},\n title = {Learning Robot Motion Policies for Pushing Objects that Generalize},\n author = {Diker, Ümit},\n year = {2025},\n month = sep,\n school = {RWTH Aachen University},\n advisor = {Swoboda, Daniel},\n url = {./theses/diker2025.pdf}\n}\n\n\n
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\n\n \n \n \n \n \n \n Learning Symbolic State Descriptions From Images Using Scene Graph Generation.\n \n \n \n \n\n\n \n Maheshwari, N.\n\n\n \n\n\n\n Master's thesis, RWTH Aachen University, June 2025.\n
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@thesis{maheshwari2025,\n type = {mathesis},\n title = {Learning Symbolic State Descriptions From Images Using Scene Graph Generation},\n author = {Maheshwari, Nirmal},\n year = {2025},\n month = jun,\n school = {RWTH Aachen University},\n advisor = {Hofmann, Till},\n url = {./theses/maheshwari2025.pdf}\n}\n\n\n
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\n\n \n \n \n \n \n \n Action Classification Through Dynamic Scene Graph Generation From ImageSequences.\n \n \n \n \n\n\n \n Schulte, P.\n\n\n \n\n\n\n Bachelor's thesis, RWTH Aachen University, June 2025.\n
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Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n \n \n 13 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@thesis{schulte2025,\n type = {bathesis},\n title = {Action Classification Through Dynamic Scene Graph Generation From ImageSequences},\n author = {Schulte, Paul},\n year = {2025},\n month = jun,\n school = {RWTH Aachen University},\n advisor = {Rakhman, Ulzhalgas},\n url = {./theses/schulte2025.pdf}\n}\n\n\n
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\n\n \n \n \n \n \n \n Investigating Policy Gradient Methods for Rubik’s Cube.\n \n \n \n \n\n\n \n Nagel, A.\n\n\n \n\n\n\n Bachelor's thesis, RWTH Aachen University, June 2025.\n
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@thesis{nagel2025,\n type = {bathesis},\n title = {Investigating Policy Gradient Methods for Rubik’s Cube},\n author = {Nagel, Allegra},\n year = {2025},\n month = jun,\n school = {RWTH Aachen University},\n advisor = {Theisen, Martin},\n url = {./theses/nagel2025.pdf}\n}\n\n\n
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\n\n \n \n \n \n \n \n Learning Critical Regions via Feasibility Constraints in Task and Motion Planning.\n \n \n \n \n\n\n \n Dello, B.\n\n\n \n\n\n\n Bachelor's thesis, RWTH Aachen University, May 2025.\n
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Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@thesis{dello2025,\n type = {bathesis},\n title = {Learning Critical Regions via Feasibility Constraints in Task and Motion Planning},\n author = {Dello, Baran},\n year = {2025},\n month = may,\n school = {RWTH Aachen University},\n advisor = {Ajanović, Zlatan},\n url = {./theses/dello2025.pdf}\n}\n\n\n
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\n\n \n \n \n \n \n \n Tail Reasoning in Classical Planning.\n \n \n \n \n\n\n \n Becks, C.\n\n\n \n\n\n\n Bachelor's thesis, RWTH Aachen University, February 2025.\n
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@thesis{becks2025,\n type = {bathesis},\n title = {Tail Reasoning in Classical Planning},\n author = {Becks, Cedric},\n year = {2025},\n month = feb,\n school = {RWTH Aachen University},\n advisor = {Gösgens, Jonas},\n url = {./theses/becks2025.pdf}\n}\n\n\n
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\n\n \n \n \n \n \n \n Learning Lifted STRIPS Models from Partial Graphs with Reduced Action Labels.\n \n \n \n \n\n\n \n Jansen, N.\n\n\n \n\n\n\n Master's thesis, RWTH Aachen University, February 2025.\n
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Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@thesis{jansen2025,\n type = {mathesis},\n title = {Learning Lifted STRIPS Models from Partial Graphs with Reduced Action Labels},\n author = {Jansen, Niklas},\n year = {2025},\n month = feb,\n school = {RWTH Aachen University},\n advisor = {Gösgens, Jonas},\n url = {./theses/jansen2025.pdf}\n}\n\n\n
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\n\n \n \n \n \n \n \n Solving ARC as a Generalized Planning Problem using ASP.\n \n \n \n \n\n\n \n Dornhege, J.\n\n\n \n\n\n\n Bachelor's thesis, RWTH Aachen University, January 2025.\n
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Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@thesis{dornhege2025,\n type = {bathesis},\n title = {Solving ARC as a Generalized Planning Problem using ASP},\n author = {Dornhege, Jan},\n year = {2025},\n month = jan,\n school = {RWTH Aachen University},\n advisor = {Geffner, Hector},\n url = {./theses/dornhege2025.pdf}\n}\n\n\n
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\n\n \n \n \n \n \n \n On Learning Representations in Model-Based Reinforcement Learning.\n \n \n \n \n\n\n \n Lu, Y.\n\n\n \n\n\n\n Bachelor's thesis, RWTH Aachen University, January 2025.\n
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Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@thesis{lu2025,\n type = {bathesis},\n title = {On Learning Representations in Model-Based Reinforcement Learning},\n author = {Lu, Yingliu},\n year = {2025},\n month = jan,\n school = {RWTH Aachen University},\n advisor = {Reiher, Jonas},\n url = {./theses/lu2025.pdf}\n}\n\n\n
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