Using Evolution Programs to Learn Local Similarity Measures. - Armin Stahl; Thomas Gabel (ICCBR, 2003)

Exploiting Background Knowledge when Learning Similarity Measures. - Thomas Gabel; Armin Stahl (ECCBR, 2004)

CBR for State Value Function Approximation in Reinforcement Learning. - Thomas Gabel; Martin A. Riedmiller (ICCBR, 2005)

On the Use of Vocabulary Knowledge for Learning Similarity Measures. - Thomas Gabel (Wissensmanagement (LNCS Volume), 2005)

Optimizing Similarity Assessment in Case-Based Reasoning. - Armin Stahl; Thomas Gabel (AAAI, 2006)

Reducing policy degradation in neuro-dynamic programming. - Thomas Gabel; Martin A. Riedmiller (ESANN, 2006)

Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners. - Thomas Gabel; Martin A. Riedmiller (ECCBR, 2006)

Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter. - Martin A. Riedmiller; Thomas Gabel; Roland Hafner; Sascha Lange; Martin Lauer (Inform. Spektrum, 2006)

Learning a Partial Behavior for a Competitive Robotic Soccer Agent. - Thomas Gabel; Martin A. Riedmiller (Künstliche Intell., 2006)

On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup. - Martin A. Riedmiller; Thomas Gabel (CIG, 2007)

Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems. - Thomas Gabel; Martin A. Riedmiller (CISched, 2007)

An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs. - Thomas Gabel; Martin A. Riedmiller (ICCBR, 2007)

Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies. - Thomas Gabel; Martin A. Riedmiller (AAMAS (3), 2008)

Increasing Precision of Credible Case-Based Inference. - Thomas Gabel; Martin A. Riedmiller (ECCBR, 2008)

Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets. - Thomas Gabel; Martin A. Riedmiller (EWRL, 2008)

Joint Equilibrium Policy Search for Multi-Agent Scheduling Problems. - Thomas Gabel; Martin A. Riedmiller (MATES, 2008)

A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach. - Thomas Gabel; Martin A. Riedmiller; Florian Trost (RoboCup, 2008)

Cooperative Multi-Agent Systems from the Reinforcement Learning Perspective - Challenges, Algorithms, and an Application. - Thomas Gabel (Algorithmic Methods for Distributed Cooperative Systems, 2009)

Reinforcement learning for robot soccer. - Martin A. Riedmiller; Thomas Gabel; Roland Hafner; Sascha Lange (Auton. Robots, 2009)

Multi-agent reinforcement learning approaches for distributed job shop scheduling problems. - Thomas Gabel (2009)

On Progress in RoboCup: The Simulation League Showcase. - Thomas Gabel; Martin A. Riedmiller (RoboCup, 2010)

Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark. - Thomas Gabel; Christian Lutz; Martin A. Riedmiller (ADPRL, 2011)

Batch Reinforcement Learning. - Sascha Lange; Thomas Gabel; Martin A. Riedmiller (Reinforcement Learning, 2012)

Top-Down Induction of Similarity Measures Using Similarity Clouds. - Thomas Gabel; Eicke Godehardt (ICCBR, 2015)

I Know What You're Doing: A Case Study on Case-Based Opponent Modeling and Low-Level Action Prediction. - Thomas Gabel; Eicke Godehardt (ICCBR (Workshops), 2015)

Progress in RoboCup Revisited: The State of Soccer Simulation 2D. - Thomas Gabel; Egbert Falkenberg; Eicke Godehardt (RoboCup, 2016)

Classification of Toxicity Effects of Biotransformed Hepatic Drugs Using Optimized Support Vector Machine. - Alaa Tharwat; Thomas Gabel; Aboul Ella Hassanien (AISI, 2017)

Parameter Optimization of Support Vector Machine Using Dragonfly Algorithm. - Alaa Tharwat; Thomas Gabel; Aboul Ella Hassanien (AISI, 2017)

Combining evolutionary algorithms and case-based reasoning for learning high-quality shooting strategies in AI birds. - Suleyman Gemici; Thomas Gabel; Benjamin Loffler; Alaa Tharwat (EAIS, 2017)

Eavesdropping Opponent Agent Communication Using Deep Learning. - Thomas Gabel; Alaa Tharwat; Eicke Godehardt (MATES, 2017)

Communication in Soccer Simulation: On the Use of Wiretapping Opponent Teams. - Thomas Gabel; Philipp Klöppner; Eicke Godehardt; Alaa Tharwat (RoboCup, 2018)

MOGOA algorithm for constrained and unconstrained multi-objective optimization problems. - Alaa Tharwat; Essam H. Houssein; Mohammed M. Ahmed; Aboul Ella Hassanien; Thomas Gabel (Appl. Intell., 2018)

On the Generalization Capabilities of Sharp Minima in Case-Based Reasoning. - Thomas Gabel; Eicke Godehardt (ICCBR, 2019)

Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm. - Alaa Tharwat; Mohamed Elhoseny; Aboul Ella Hassanien; Thomas Gabel; Arun Kumar Sangaiah (Clust. Comput., 2019)

Parameters optimization of support vector machines for imbalanced data using social ski driver algorithm. - Alaa Tharwat; Thomas Gabel (Neural Comput. Appl., 2020)

Case-Based Learning and Reasoning Using Layered Boundary Multigraphs. - Thomas Gabel; Fabian Sommer (ICCBR, 2022)

Instance-Based Opponent Action Prediction in Soccer Simulation Using Boundary Graphs. - Thomas Gabel; Fabian Sommer (RoboCup, 2022)

Holes and Clashes in Simulated Soccer: When a Real-Time Simulation System Meets Compute-Hungry Agents. - Thomas Gabel; Eicke Godehardt (RoboCup, 2024)

The Glee Didn't Last Long: How Continuous Integration Helps Revealing Fundamental Flaws in Team-Play. - Thomas Gabel; Eicke Godehardt (RoboCup, 2024)

Efficient Case Retrieval Using Dropout Similarity Highway Multigraphs. - Thomas Gabel (ICCBR, 2025)