Thomas Gabel

41 papers A* 1B 1C 14Journal 6Unranked 17
YearRankTypeTitle / Venue / Authors
2025 C conf
Efficient Case Retrieval Using Dropout Similarity Highway Multigraphs.
ICCBR
Thomas Gabel
2024 C conf
Holes and Clashes in Simulated Soccer: When a Real-Time Simulation System Meets Compute-Hungry Agents.
RoboCup
Thomas Gabel, Eicke Godehardt
2024 C conf
The Glee Didn't Last Long: How Continuous Integration Helps Revealing Fundamental Flaws in Team-Play.
RoboCup
Thomas Gabel, Eicke Godehardt
2022 C conf
Case-Based Learning and Reasoning Using Layered Boundary Multigraphs.
ICCBR
Thomas Gabel, Fabian Sommer
2022 C conf
Instance-Based Opponent Action Prediction in Soccer Simulation Using Boundary Graphs.
RoboCup
Thomas Gabel, Fabian Sommer
2020 J jnl
Parameters optimization of support vector machines for imbalanced data using social ski driver algorithm.
Neural Comput. Appl.
Alaa Tharwat, Thomas Gabel
2019 J jnl
Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm.
Clust. Comput.
Alaa Tharwat, Mohamed Elhoseny, Aboul Ella Hassanien, Thomas Gabel, Arun Kumar Sangaiah
2019 C conf
On the Generalization Capabilities of Sharp Minima in Case-Based Reasoning.
ICCBR
Thomas Gabel, Eicke Godehardt
2018 C conf
Communication in Soccer Simulation: On the Use of Wiretapping Opponent Teams.
RoboCup
Thomas Gabel, Philipp Klöppner, Eicke Godehardt, Alaa Tharwat
2018 J jnl
MOGOA algorithm for constrained and unconstrained multi-objective optimization problems.
Appl. Intell.
Alaa Tharwat, Essam H. Houssein, Mohammed M. Ahmed, Aboul Ella Hassanien, Thomas Gabel
2017 — conf
Classification of Toxicity Effects of Biotransformed Hepatic Drugs Using Optimized Support Vector Machine.
AISI
Alaa Tharwat, Thomas Gabel, Aboul Ella Hassanien
2017 — conf
Combining evolutionary algorithms and case-based reasoning for learning high-quality shooting strategies in AI birds.
EAIS
Suleyman Gemici, Thomas Gabel, Benjamin Loffler, Alaa Tharwat
2017 — conf
Eavesdropping Opponent Agent Communication Using Deep Learning.
MATES
Thomas Gabel, Alaa Tharwat, Eicke Godehardt
2017 — conf
Parameter Optimization of Support Vector Machine Using Dragonfly Algorithm.
AISI
Alaa Tharwat, Thomas Gabel, Aboul Ella Hassanien
2016 C conf
Progress in RoboCup Revisited: The State of Soccer Simulation 2D.
RoboCup
Thomas Gabel, Egbert Falkenberg, Eicke Godehardt
2015 — conf
I Know What You're Doing: A Case Study on Case-Based Opponent Modeling and Low-Level Action Prediction.
ICCBR (Workshops)
Thomas Gabel, Eicke Godehardt
2015 C conf
Top-Down Induction of Similarity Measures Using Similarity Clouds.
ICCBR
Thomas Gabel, Eicke Godehardt
2012 — ch.
Batch Reinforcement Learning.
Reinforcement Learning
Sascha Lange, Thomas Gabel, Martin A. Riedmiller
2011 — conf
Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark.
ADPRL
Thomas Gabel, Christian Lutz, Martin A. Riedmiller
2010 C conf
On Progress in RoboCup: The Simulation League Showcase.
RoboCup
Thomas Gabel, Martin A. Riedmiller
2009 — conf
Cooperative Multi-Agent Systems from the Reinforcement Learning Perspective - Challenges, Algorithms, and an Application.
Algorithmic Methods for Distributed Cooperative Systems
Thomas Gabel
2009 — —
Multi-agent reinforcement learning approaches for distributed job shop scheduling problems.
Thomas Gabel
2009 J jnl
Reinforcement learning for robot soccer.
Auton. Robots
Martin A. Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange
2008 C conf
A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach.
RoboCup
Thomas Gabel, Martin A. Riedmiller, Florian Trost
2008 — conf
Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets.
EWRL
Thomas Gabel, Martin A. Riedmiller
2008 — conf
Increasing Precision of Credible Case-Based Inference.
ECCBR
Thomas Gabel, Martin A. Riedmiller
2008 — conf
Joint Equilibrium Policy Search for Multi-Agent Scheduling Problems.
MATES
Thomas Gabel, Martin A. Riedmiller
2008 — conf
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies.
AAMAS (3)
Thomas Gabel, Martin A. Riedmiller
2007 C conf
An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs.
ICCBR
Thomas Gabel, Martin A. Riedmiller
2007 — conf
On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup.
CIG
Martin A. Riedmiller, Thomas Gabel
2007 — conf
Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems.
CISched
Thomas Gabel, Martin A. Riedmiller
2006 J jnl
Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter.
Inform. Spektrum
Martin A. Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange, Martin Lauer
2006 J jnl
Learning a Partial Behavior for a Competitive Robotic Soccer Agent.
Künstliche Intell.
Thomas Gabel, Martin A. Riedmiller
2006 — conf
Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners.
ECCBR
Thomas Gabel, Martin A. Riedmiller
2006 A* conf
Optimizing Similarity Assessment in Case-Based Reasoning.
AAAI
Armin Stahl, Thomas Gabel
2006 B conf
Reducing policy degradation in neuro-dynamic programming.
ESANN
Thomas Gabel, Martin A. Riedmiller
2005 C conf
CBR for State Value Function Approximation in Reinforcement Learning.
ICCBR
Thomas Gabel, Martin A. Riedmiller
2005 — conf
On the Use of Vocabulary Knowledge for Learning Similarity Measures.
Wissensmanagement
Thomas Gabel
2005 — conf
On the Use of Vocabulary Knowledge for Learning Similarity Measures.
Wissensmanagement (LNCS Volume)
Thomas Gabel
2004 — conf
Exploiting Background Knowledge when Learning Similarity Measures.
ECCBR
Thomas Gabel, Armin Stahl
2003 C conf
Using Evolution Programs to Learn Local Similarity Measures.
ICCBR
Armin Stahl, Thomas Gabel