2022
Instance-Based Opponent Action Prediction in Soccer Simulation Using Boundary Graphs.
Proceedings of the RoboCup 2022:, 2022
Case-Based Learning and Reasoning Using Layered Boundary Multigraphs.
Proceedings of the Case-Based Reasoning Research and Development, 2022
2020
Parameters optimization of support vector machines for imbalanced data using social ski driver algorithm.
Neural Comput. Appl., 2020
2019
Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm.
Clust. Comput., 2019
On the Generalization Capabilities of Sharp Minima in Case-Based Reasoning.
Proceedings of the Case-Based Reasoning Research and Development, 2019
2018
MOGOA algorithm for constrained and unconstrained multi-objective optimization problems.
Appl. Intell., 2018
Communication in Soccer Simulation: On the Use of Wiretapping Opponent Teams.
Proceedings of the RoboCup 2018: Robot World Cup XXII [Montreal, 2018
2017
Eavesdropping Opponent Agent Communication Using Deep Learning.
Proceedings of the Multiagent System Technologies - 15th German Conference, 2017
Combining evolutionary algorithms and case-based reasoning for learning high-quality shooting strategies in AI birds.
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017
Parameter Optimization of Support Vector Machine Using Dragonfly Algorithm.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, 2017
Classification of Toxicity Effects of Biotransformed Hepatic Drugs Using Optimized Support Vector Machine.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, 2017
2016
Progress in RoboCup Revisited: The State of Soccer Simulation 2D.
Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016
2015
I Know What You're Doing: A Case Study on Case-Based Opponent Modeling and Low-Level Action Prediction.
Proceedings of the Workshop Proceedings from The Twenty-Third International Conference on Case-Based Reasoning (ICCBR 2015), 2015
Top-Down Induction of Similarity Measures Using Similarity Clouds.
Proceedings of the Case-Based Reasoning Research and Development, 2015
2012
Batch Reinforcement Learning.
Proceedings of the Reinforcement Learning, 2012
2011
Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
On Progress in RoboCup: The Simulation League Showcase.
Proceedings of the RoboCup 2010: Robot Soccer World Cup XIV [papers from the 14th annual RoboCup International Symposium, 2010
2009
Multi-agent reinforcement learning approaches for distributed job shop scheduling problems.
PhD thesis, 2009
Reinforcement learning for robot soccer.
Auton. Robots, 2009
Cooperative Multi-Agent Systems from the Reinforcement Learning Perspective - Challenges, Algorithms, and an Application.
Proceedings of the Algorithmic Methods for Distributed Cooperative Systems, 06.09., 2009
2008
A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach.
Proceedings of the RoboCup 2008: Robot Soccer World Cup XII [papers from the 12th annual RoboCup International Symposium, 2008
Joint Equilibrium Policy Search for Multi-Agent Scheduling Problems.
Proceedings of the Multiagent System Technologies, 6th German Conference, 2008
Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008
Increasing Precision of Credible Case-Based Inference.
Proceedings of the Advances in Case-Based Reasoning, 9th European Conference, 2008
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008
2007
An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs.
Proceedings of the Case-Based Reasoning Research and Development, 2007
Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007
On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007
2006
Learning a Partial Behavior for a Competitive Robotic Soccer Agent.
Künstliche Intell., 2006
Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter.
Inform. Spektrum, 2006
Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners.
Proceedings of the Advances in Case-Based Reasoning, 8th European Conference, 2006
Reducing policy degradation in neuro-dynamic programming.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
Optimizing Similarity Assessment in Case-Based Reasoning.
Proceedings of the Proceedings, 2006
2005
On the Use of Vocabulary Knowledge for Learning Similarity Measures.
Proceedings of the Professional Knowledge Management, Third Biennial Conference, 2005
CBR for State Value Function Approximation in Reinforcement Learning.
Proceedings of the Case-Based Reasoning, 2005
2004
Exploiting Background Knowledge when Learning Similarity Measures.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004
2003
Using Evolution Programs to Learn Local Similarity Measures.
Proceedings of the Case-Based Reasoning Research and Development, 2003