| 2026 | ICCBR | An Empirical Investigation of Bias and Unfairness in Case-Based Adaptation. | Thomas Gabel |
| 2025 | ICCBR | Efficient Case Retrieval Using Dropout Similarity Highway Multigraphs. | Thomas Gabel |
| 2024 | RoboCup | Holes and Clashes in Simulated Soccer: When a Real-Time Simulation System Meets Compute-Hungry Agents. | Thomas Gabel, Eicke Godehardt |
| 2024 | RoboCup | The Glee Didn't Last Long: How Continuous Integration Helps Revealing Fundamental Flaws in Team-Play. | Thomas Gabel, Eicke Godehardt |
| 2022 | ICCBR | Case-Based Learning and Reasoning Using Layered Boundary Multigraphs. | Thomas Gabel, Fabian Sommer |
| 2022 | RoboCup | Instance-Based Opponent Action Prediction in Soccer Simulation Using Boundary Graphs. | Thomas Gabel, Fabian Sommer |
| 2019 | ICCBR | On the Generalization Capabilities of Sharp Minima in Case-Based Reasoning. | Thomas Gabel, Eicke Godehardt |
| 2018 | RoboCup | Communication in Soccer Simulation: On the Use of Wiretapping Opponent Teams. | Thomas Gabel, Philipp Klppner, Eicke Godehardt, Alaa Tharwat |
| 2016 | RoboCup | Progress in RoboCup Revisited: The State of Soccer Simulation 2D. | Thomas Gabel, Egbert Falkenberg, Eicke Godehardt |
| 2015 | ICCBR | Top-Down Induction of Similarity Measures Using Similarity Clouds. | Thomas Gabel, Eicke Godehardt |
| 2015 | ICCBR | I Know What You're Doing: A Case Study on Case-Based Opponent Modeling and Low-Level Action Prediction. | Thomas Gabel, Eicke Godehardt |
| 2010 | RoboCup | On Progress in RoboCup: The Simulation League Showcase. | Thomas Gabel, Martin A. Riedmiller |
| 2008 | RoboCup | A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach. | Thomas Gabel, Martin A. Riedmiller, Florian Trost |
| 2007 | ICCBR | An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs. | Thomas Gabel, Martin A. Riedmiller |
| 2006 | AAAI | Optimizing Similarity Assessment in Case-Based Reasoning. | Armin Stahl, Thomas Gabel |
| 2006 | ESANN | Reducing policy degradation in neuro-dynamic programming. | Thomas Gabel, Martin A. Riedmiller |
| 2005 | ICCBR | CBR for State Value Function Approximation in Reinforcement Learning. | Thomas Gabel, Martin A. Riedmiller |
| 2003 | ICCBR | Using Evolution Programs to Learn Local Similarity Measures. | Armin Stahl, Thomas Gabel |