• T. Gabel and E. Godehardt.
  The Glee Didn't Last Long: How Continuous Integration Helps Revealing Fundamental Flaws in Team-Play.
  In RoboCup 2024: Robot Soccer World Cup XVIII, Eindhoven, The Netherlands. Springer, 2024.

• T. Gabel and E. Godehardt.
  Holes and Clashed in Simulated Soccer: When a Real-Time Simulation System Meets Compute-Hungry Agents.
  In RoboCup 2024: Robot Soccer World Cup XVIII, Eindhoven, The Netherlands. Springer, 2024.

• T. Gabel, B. Eren, and E. Godehardt.
  FRA-UNIted - Team Description 2024.
  To appear in RoboCup 2024: Robot Soccer World Cup XXVII (Eindhoven, The Netherlands). Springer, 2024 (supplement)

• E. Godehardt, M. Allani, A. Vieth, and T. Gabel.
  1001 Games a Night – Continuous Evaluation of an Intelligent Multi-Agent Based System.
  In Proceedings of the 8th International Congress on Information and Communication Technology (ICICT 2023), pages 193-208, London, United Kingdom, Springer, 2023.

• T. Gabel, B. Eren, Y. Eren, F. Sommer, and E. Godehardt.
  FRA-UNIted - Team Description 2023.
  In RoboCup 2023: Robot Soccer World Cup XXVI (Bordeaux, France). Springer, 2023 (supplement)

• T. Gabel and F. Sommer.
  Case-Based Learning and Reasoning Using Layered Boundary Multigraphs.
  In Proceedings of the 30th International Conference on Case-Based Reasoning (ICCBR 2022), pages 193-208, Nancy, France, Springer, 2022.

• T. Gabel, Y. Eren, F. Sommer, A. Vieth and E. Godehardt.
  FRA-UNIted - Team Description 2022.
  To appear in RoboCup 2022: Robot Soccer World Cup XXVI (Bangkok, Thailand). Springer, 2022, CD supplement.

• T. Gabel and F. Sommer.
  Instance-Based Opponent Action Prediction in Soccer Simulation Using Boundary Graphs.
  In RoboCup 2022: Robot Soccer World Cup XVI, Bangkok. Springer, 2022.

• T. Gabel, P. Klöppner, Y. Eren, F. Sommer, S. Breuer, R. Litschel, N. Müller and E. Godehardt.
  FRA-UNIted - Team Description 2021.
  To appear in RoboCup 2021: Robot Soccer World Cup XXV (Online Event). Springer, 2021, CD supplement.

• A. Tharwat and T. Gabel.
  Parameters Optimization of Support Vector Machines for Imbalanced Data Using Social Ski-Driver Algorithm.
  In Neural Computing and Applications, vol. 32, number 11, pages 6925-6938, SpringerNature, 2020.

• T. Gabel, P. Klöppner, Y. Eren, F. Sommer, S. Breuer, R. Litschel, N. Müller and E. Godehardt.
  FRA-UNIted - Team Description 2020.
  To appear in RoboCup 2020: Robot Soccer World Cup XXIV, Bordeaux. Springer, 2020, CD supplement.

• T. Gabel and E. Godehardt.
  On the Generalization Capabilities of Sharp Minima in Case-Based Reasoning.
  In: Proceedings of the 27th International Conference on Case-Based Reasoning (ICCBR 2019), pages 79-94, Otzenhausen, Germany, Springer, 2019. Nominee: Best Paper Award.

• T. Gabel, S. Breuer, F. Sommer and E. Godehardt.
  FRA-UNIted - Team Description 2019.
  In RoboCup 2019: Robot Soccer World Cup XXIII, Sydney. Springer, 2019, CD supplement.

• T. Gabel, P. Klöppner, E. Godehardt and A. Tharwat.
  Communication in Soccer Simulation: On the Use of Wiretapping Opponent Teams.
  In RoboCup 2018: Robot Soccer World Cup XXII, pages 3-15, Montreal. Springer, 2018. Best Paper Award.

• A. Tharwat, A. Hemedan, A. Hassanien and T. Gabel.
  A Biometric-Based Model for Fish Species Classification.
  In Fisheries Research, vol. 204, pages 324-336. ScienceDirect, 2018.

• T. Gabel, P. Klöppner, and E. Godehardt.
  FRA-UNIted - Team Description 2018.
  In RoboCup 2018: Robot Soccer World Cup XXII, Montreal. Springer, 2018, CD supplement.

• A. Tharwat, M. Elhoseny, A. Hassanien, T. Gabel and A. Kumar.
  Intelligent Bezier Curve-Based Path Planning Model Using Chaotic Particle Swarm Optimization Algorithm.
  In Cluster Computing, pages 1-22. Springer, 2018.

• A. Tharwat, E. Houssein, M. Ahmed, A. Hassanien, and T. Gabel.
  MOGOA Algorithm for Constrained and Unconstrained Multi-Objective Optimization Problems.
  In Applied Intelligence, pages 1-16. Springer, 2017.

• T. Gabel, A. Tharwat, E. Godehardt.
  Eavesdropping Opponent Agent Communication Using Deep Learning.
  In Proceedings of Multi-Agent System Technologies (MATES 2017), pages 205-222, Leipzig, Germany. Springer, 2017.

• A. Tharwat, T. Gabel, A. Hassanien.
  Classification of Toxicity Effects of Biotransformed Hepatic Drugs Using Optimized Support Vector Machine.
  In Proceedings of the International Conference on Advanced Intelligent Systems and Informatics (AISI 2017), pages 161-170, Cairo, Egypt. Springer, 2017.

• A. Tharwat, T. Gabel, A. Hassanien.
  Parameter Optimization of Support Vector Machine using Dragony Algorithm.
  In Proceedings of the International Conference on Advanced Intelligent Systems and Informatics (AISI 2017), pages 309-319, Cairo, Egypt. Springer, 2017.

• S. Gemici, T. Gabel, B. Löffler, A. Tharwat.
  Combining Evolutionary Algorithms and Case-Based Reasoning for Learning High-Quality Shooting Strategies in AI Birds.
  In Proceedings of Evolving and Adaptive Systems (EAIS 2017), Ljubljana, Slovenia. IEEE Press, 2017.

• T. Gabel, S. Breuer, C. Roser, R. Berneburg, E. Godehardt.
  FRA-UNIted - Team Description 2017.
  In RoboCup 2017: Robot Soccer World Cup XXI, Nagoya. Springer, 2017, CD supplement.

• T. Gabel, E. Falkenberg and E. Godehardt.
  Progress in RoboCup Revisited: The State of Soccer Simulation 2D.
  In S. Behnke, R. Sheh, S. Sariel, and D. Lee (Eds.): RoboCup 2016: Robot Soccer World Cup XX, pages 144-156, Leipzig. Springer, 2016.

• T. Gabel and C. Roser.
  FRA-UNIted - Team Description 2016.
  In RoboCup 2016: Robot Soccer World Cup XX, Leipzig. Springer, 2016, CD supplement. Best Paper Award

• T. Gabel and E. Godehardt.
  I Know What You're Doing: A Case Study on Case-Based Opponent Modeling and Low-Level Action Prediction.
  In J. Kendall-Morwick (Ed.): Proceedings of the Workshop on Case-Based Agents at the International Conference on Case-Based Reasoning (ICCBR-CBA 2015), pages 13-22, Frankfurt, Germany, 2015.

• T. Gabel and E. Godehardt.
  Top-Down Induction of Similarity Measures Using Similarity Clouds.
  In: Proceedings of the International Conference on Case-Based Reasoning (ICCBR 2015), pages 149-164, Frankfurt am Main, Germany, Springer, 2015.

• E. Godehardt and T. Gabel.
  High Quality Lecture Recording with Minimal Bandwidth Requirements.
  In Proceedings of Global Learn 2015, pages 127-133, Association for the Advancement of Computing in Education, 2015.

• T. Gabel and M. Riedmiller.
  The Cooperative Driver: Multi-Agent Learning for Preventing Traffic Jams.
  In International Journal on Traffic and Transportation Engineering, 1(4), pages 67-76, Scientific and Academic Publishing, 2013.

• S. Lange, T. Gabel and M. Riedmiller.
  Batch Reinforcement Learning.
  In M. Wiering, M. Otterlo (Eds.): Reinforcement Learning: State of the Art. Springer, 2012

• T. Gabel and M. Riedmiller.
  Distributed Policy Search Reinforcement Learning for Job-Shop Scheduling Tasks.
  In International Journal on Production Research, 50(1), pages 41-61, Taylor & Francis, 2012.

• T. Gabel, C. Lutz and M. Riedmiller.
  Improved Neural Fitted Q Iteration Applied to a Novel Computer Gaming and Learning Benchmark.
  In Proceedings of the IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2011), pages 279-286, Paris, France. IEEE Press, 2011.

• T. Gabel and M. Riedmiller.
  On Progress in RoboCup: The Simulation League Showcase.
  In RoboCup 2010: Robot Soccer World Cup XIV, Singapore. Springer, 2010.
  Slides of the corresponding talk at the RoboCup Symposium are available at YouTube.

• T. Gabel.
  Cooperative Multi-Agent Systems from the Reinforcement Learning Perspective - Challenges, Algorithms, and an Application. Extended Abstract.
  In Dagstuhl Seminar Proceedings 09371: Algorithmic Methods for Distributed Cooperative Systems. Dagstuhl, Germany. LZI, 2010.

• T. Gabel.
  Learning in Cooperative Multi-Agent Systems.
  ISBN 978-3838110363, Südwestdeutscher Verlag für Hochschulschriften, 2009.

• M. Riedmiller, T. Gabel, R. Hafner, and S. Lange.
  Reinforcement Learning for Robot Soccer.
  In Autonomous Robots, 27(1), pages 55-73. Springer, 2009.

• T. Gabel, M. Riedmiller.
  Brainstormers 2D - Team Description 2009.
  In L. Iocchi, H. Matsubara, A. Weitzenfeld, C. Zhou, editors, RoboCup 2009: Robot Soccer World Cup XII, LNCS (CD Supplement). Graz, Austria, Springer, 2009.

• T. Gabel.
  Multi-Agent Reinforcement Learning Approaches for Distributed Job-Shop Scheduling Problems.
  Dissertation Thesis (equiv. to PhD Thesis). University of Osnabrueck, 2009.

• T. Gabel and M. Riedmiller.
  Joint Equlibrium Policy Search for Multi-Agent Scheduling Problems.
  In Proceedings of the Sixth Conference on Multi-Agents Technologies and Systems (MATES 2008), pages 61-72, Kaiserslautern, Germany. Springer, 2008.

• T. Gabel and M. Riedmiller.
  Gradient-Descent Policy Search for Distributed Job-Shop Scheduling Problems.
  In Online Proceedings of the 18th International Conference on Automated Planning and Scheduling (ICAPS 2008), Sydney, Australia. AAAI Press, 2008.

• T. Gabel and M. Riedmiller.
  Increasing Precision of Credible Case-Based Inference.
  In Proceedings of the Ninth European Conference on Case-Based Reasoning (ECCBR 2008), pages 225-339, Trier, Germany. Springer, 2008.

• T. Gabel, M. Riedmiller, and F. Trost.
  A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach.
  In L. Iocchi, H. Matsubara, A. Weitzenfeld, C. Zhou (editors): RobopCup 2008: Robot Soccer World Cup XII. pages 61-72, Suzhou, China. Springer, 2008.

• M. Riedmiller, T. Gabel, and F. Trost.
  Brainstormers 2D - Team Description 2008.
  In L. Iocchi, H. Matsubara, A. Weitzenfeld, C. Zhou, editors, RoboCup 2008: Robot Soccer World Cup XII, LNCS (CD Supplement), Suzhou, China. Springer, 2008.

• T. Gabel and M. Riedmiller.
  Evaluation of Batch-Mode Reinforcement Learning for Solving DEC-MDPs with Changing Action Sets.
  In Proceedings of the Eight Bienial European Workshop on Reinforcement Learning (EWRL 2008), pages 82-95, Lille, France. Springer, 2008.

• T. Gabel and M. Riedmiller.
  Reinforcement Learning for Solving DEC-MDPs with Changing Action Sets and Partially Ordered Transitions.
  In Proceedings of the Seventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2008), pages 1333-1336, Estoril, Portugal. IFAMAS, 2008.

• T. Gabel and M. Riedmiller.
  Adaptive Reactive Job-Shop Scheduling with Reinforcement Learning Agents.
  In International Journal of Information Technology and Intelligent Computing 24(4). IEEE Press, 2007.

• T. Gabel and M. Riedmiller.
  An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs.
  In Proceedings of the 7th International Conference on Case-Based Reasoning (ICCBR 2007), pages 344-358, Belfast, United Kingdom. Springer, 2007. Nominee: Best Paper Award

• M. Riedmiller and T. Gabel.
  Brainstormers 2D - Team Description 2007.
  In U. Visser, F. Ribeiro, T. Ohashi and F. Dellaert, editors, RoboCup 2007: Robot Soccer World Cup XI, LNCS (CD Supplement), Atlanta, USA. Springer, 2007.

• T. Gabel and M. Riedmiller.
  On a Successful Application of Multi-Agent Reinforcement Learning to Operations Research Benchmarks.
  In Proceedings of the IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), pages 68-75, Honolulu, USA. IEEE Press, 2007.

• M. Riedmiller and T. Gabel.
  On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup.
  In Proceedings of the 3rd IEEE Symposium on Computational Intelligence and Games (CIG 2007), pages 17-23. IEEE Press, 2007.

• T. Gabel and M. Riedmiller.
  Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems.
  In Proceedings of the IEEE Symposium on Computational Intelligence in Scheduling (CI-Sched 2007), pages 259-266. IEEE Press, 2007.

• T. Gabel, R. Hafner and S. Lange, M. Lauer and M. Riedmiller.
  Bridging the Gap: Learning in the RoboCup Simulation and Midsize League.
  In Proceedings of the 7th Portugguese Conference on Automatic Control (Controlo 2006), Lisbon, Portugal, 2006.

• T. Gabel and M. Riedmiller.
  Multi-Agent Case-Based Reasoning for Cooperative Reinforcement Learners.
  In Proceedings of the 8th European Conference on Case-Based Reasoning (ECCBR 2006), pages 32-46, Ölüdeniz/Fethiye, Turkey, Springer, 2006.

• A. Stahl and T. Gabel.
  Optimizing Similarity Assessment in Case-Based Reasoning.
  In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06), Boston, USA, AAAI Press, 2006.

• M. Riedmiller, T. Gabel, R. Hafner, S. Lange and M. Lauer.
  Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter.
  In Informatik Spektrum 29(3), pages 175-190, Springer, 2006.

• T. Gabel and M. Riedmiller.
  Learning a Partial Behavior for a Competitive Robotic Soccer Agent.
  In KI-Zeitschrift - KI 20(2), pages 18-23, BöttcherIT Verlag, 2006.

• M. Riedmiller and T. Gabel.
  Brainstormers 2D - Team Description 2006.
  In G. Lakemeyer, E. Sklar, D. Sorrenti and T. Takahashi, editors, RoboCup 2006: Robot Soccer World Cup X, LNCS (CD Supplement), Bremen, Germany. Springer, 2006.

• T. Gabel and M. Riedmiller.
  Reducing Policy Degradation in Neuro-Dynamic Programming.
  In Proceedings of the 11th European Symposium on Artificial Neural Networks (ESANN 2006), pages 653-658, Bruges, Belgium. 2006.

• M. Riedmiller, T. Gabel, and H. Schulz.
  Brainstormers 2D - Public Source Code Release 2005.
  Technical Report, Sourceforge / University of Osnabrueck, 2005.

• T. Gabel and M. Riedmiller.
  CBR for State Value Function Approximation in Reinforcement Learning.
  In Proceedings of the 6th International Conference on Case-Based Reasoning (ICCBR 2005), pages 206-220, Chicago, USA. Springer, 2005.

• M. Riedmiller, T. Gabel, J. Knabe, and H. Strasdat.
  Brainstormers 2D - Team Description 2005.
  In A. Bredenfeld, A. Jacoff, I. Noda and Y. Takahashi, editors, RoboCup 2005: Robot Soccer World Cup IX, LNCS (CD Supplement), Osaka, Japan. Springer, 2005.

• T. Gabel.
  On the Use of Vocabulary Knowledge When Learning Similarity Measures.
  In Proceedings of the 3rd German Workshop on Experience-Management (GWEM 2005), pages 272-283, Kaiserslautern, Germany. Springer, 2005.

• T. Gabel, Y. Sure, and J. Voelker.
  KAON - Ontology Management Infrastructure.
  In SEKT (EU-IST Integrated Project) Collection of Deliverables, Technical Report, Karlsruhe Institute of Technology, Karlsruhe, Germany.  2004.

• T. Gabel and A. Stahl.
  Exploiting Background Knowledge when Learning Similarity Measures.
  In Proceedings of the 7th European Conference on Case-Based Reasoning (ECCBR 2004), pages 169-183, Madrid, Spain. Springer, 2004. Nominee: Best Paper Award

• T. Gabel, Y. Sure, and J. Voelker.
  KAON - An Overview.
  In SEKT (EU-IST Integrated Project) Collection of Deliverables, Technical Report, Karlsruhe Institute of Technology, Karlsruhe, Germany.  2004.

• A. Stahl and T. Gabel.
  Using Evolution Programs to Learn Local Similarity Measures.
  In Proceedings of the 5th International Conference on Case-Based Reasoning (ICCBR 2003), pages 537-551, Trondheim, Norway. Springer, 2003. Best Paper Award at ICCBR 2003.

• T. Gabel.
  Learning Similarity Measures: Strategies to Enhance the Optimisation Process.
  Diploma Thesis (equiv. to Master Thesis), University of Kaiserslautern, Kaiserslautern, Germany. 2003.

• T. Gabel.
  A CBR Approach to the Heterogeneous Players Problem in Robotic Soccer Simulation.
  Student Thesis (equiv. to Bachelor Thesis), University of Kaiserslautern, Kaiserslautern, Germany. 2002.

• T. Gabel and M. Veloso.
  Selecting Heterogeneous Team Players by Case-Based Reasoning: A Case Study in Robotic Soccer Simulation.
  Technical Report CMU-CS-01-165, Carnegie Mellon University, Pittsburgh, USA. 2001.