Interpolation in the eXtended Classifier System: An architectural perspective von Stein, Anthony, Rauh, Dominik, Tomforde, Sven, Hähner, Jörg

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Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic Environments von Pilar von Pilchau, Wenzel, Stein, Anthony, Hähner, Jörg

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Restricted on-line learning in real-world systems von Tomforde, Sven, Brameshuber, Andreas, Hahner, Jorg, Muller-Schloer, Christian

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Predicting Physical Disturbances in Organic Computing Systems Using Automated Machine Learning von Görlich-Bucher, Markus, Heider, Michael, Hähner, Jörg

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Transfer Learning for Automated Test Case Prioritization Using XCSF von Rosenbauer, Lukas, Pätzel, David, Stein, Anthony, Hähner, Jörg

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Anticipatory Adaptation of Signalisation Based on Traffic Flow Forecasts within a Self-organised Traffic Control System von Sommer, Matthias, Hähner, Jörg

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Classifying Metaheuristics: Towards a unified multi-level classification system von Stegherr, Helena, Heider, Michael, Hähner, Jörg

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An Organic Computing Approach to Self-Organizing Robot Ensembles von von Mammen, Sebastian, Tomforde, Sven, Hähner, Jörg

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SupRB in the context of rule-based machine learning methods: A comparative study von Heider, Michael, Stegherr, Helena, Sraj, Roman, Pätzel, David, Wurth, Jonathan, Hähner, Jörg

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A Germinal Center Artificial Immune System for Black Box Test Selection von Rosenbauer, Lukas, Stein, Anthony, Hähner, Jörg

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Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study von Kemper, Neele, Heider, Michael, Pietruschka, Dirk, Hähner, Jörg

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Mutual Influence-aware Runtime Learning of Self-adaptation Behavior von Rudolph, Stefan, Tomforde, Sven, Hähner, Jörg

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Correction: A Learning Classifier System for Automated Test Case Prioritization and Selection von Rosenbauer, Lukas, Pätzel, David, Stein, Anthony, Hähner, Jörg

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A Learning Classifier System for Automated Test Case Prioritization and Selection von Rosenbauer, Lukas, Pätzel, David, Stein, Anthony, Hähner, Jörg

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Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search von Heider, Michael, Stegherr, Helena, Pätzel, David, Sraj, Roman, Wurth, Jonathan, Volger, Benedikt, Hähner, Jörg

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Design and Evaluation of an Extended Learning Classifier-Based StarCraft Micro AI von Rudolph, Stefan, von Mammen, Sebastian, Jungbluth, Johannes, Hähner, Jörg

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Evolutionary Touch Filter Chain Calibration von Gerber, Daniel, Rosenbauer, Lukas, Lindner, Pia, Maier, Johannes, Stein, Anthony, Hähner, Jörg

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Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners von Pätzel, David, Nordsieck, Richard, Hähner, Jörg

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Positional Bias Does Not Influence Cartesian Genetic Programming with Crossover von Cui, Henning, Heider, Michael, Hähner, Jörg

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Quantifying Network Partitioning in Mobile Ad Hoc Networks von Hahner, J., Dudkowski, D., Marron, P.J., Rothermel, K.

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