Prof. Dr. Wolfgang Konen

• Repräsentations-, Reinforcement- und Regel-Lernen: Transparente Entscheidungsfindung durch erklärbare KI-Modelle; Konen Wolfgang; Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen

• ChatGPT Code Detection: Techniques for Uncovering the Source of Code
• Exploring the Reliability of SHAP Values in Reinforcement Learning
• Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments
• Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning
• Iterative Oblique Decision Trees Deliver Explainable RL Models
• Sample-based Rule Extraction for Explainable Reinforcement Learning
• Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning
• AlphaZero-Inspired Game Learning
• AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time
• The GBG Class Interface Tutorial V2.3
• Final Adaptation Reinforcement Learning for N-Player Games
• Surrogate-Assisted Optimization for Augmentation of Finite Element Techniques
• Temporal Convolutional Autoencoder for Unsupervised Anomaly Detection in Time Series
• Die CO2-Kosten des Video-Streaming
• Final Adaptation Reinforcement Learning for N-Player Games
• Reinforcement Learning for N-player Games
• The GBG Class Interface Tutorial V2.2
• Time Series Encodings with Temporal Convolutional Networks
• Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks
• General Board Game Playing for Education and Research in Generic AI Game Learning
• SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning
• Solving Optimization Problems With High Conditioning by Means of Online Whitening
• The GBG Class Interface Tutorial V2.0
• General Board Game Playing as Educational Tool for AI Competition and Learning
• How to Solve the Dilemma of Margin-Based Equality Handling Methods
• Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions
• The TDMR 2.0 Package
• The TDMR 2.0 Tutorial
• Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation
• Comparing Kriging and Radial Basis Function Surrogates
• Constraint Handling in Efficient Global Optimization
• Online Anomaly Detection on the Webscope S5 dataset
• Self-Adjusting Parameter Control for Surrogate-assisted Constrained Optimization under Limited Budgets
• The GBG Class Interface Tutorial: General Board Game Playing and Learning
• Equality Constraint Handling for Surrogate-assisted Constrained Optimization
• Illumination-invariant Image Mosaic Calculation based on Logarithmic Search
• Online Adaptable Learning Rates for the Game Connect-4
• Online Selection of Surrogate Models for Constrained Black-box Optimization
• A New Repair Method For Constrained Optimization
• Efficient Multi-criteria Optimization on Noisy Machine Learning Problems
• Reinforcement Learning for Board Games: The Temporal Difference Algorithm
• Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus
• SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF
• SVM Ensembles Are Better When Different Kernel Types Are Combined
• The rCMA Tutorial: Examples for using CMA-ES in R
• Connect-4 Game Playing Framework (C4GPF)
• Tuning and Evolution of Support Vector Kernels
• Ensemble Based Optimization and Tuning Algorithms
• Noisy Optimization with Sequential Parameter Optimization and Optimal Computational Budget Allocation
• Tuned Data Mining
• Tuned Data Mining in R
• Clustering Based Niching for Genetic Programming in the R Environment
• Comparing SPO-Tuned GP and NARX Prediction Models for Stormwater Tank Fill Level Prediction
• Optimization of Biogas Production with Computational Intelligence a Comparative Study
• Optimization of Support Vector Regression Models for Stormwater Prediction
• Parameter-Tuned Data Mining
• SPOT: A Toolbox for Interactive and Automatic Tuning in the R Environment
• Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter ParameterselektionOptimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes
• Reinforcement Learning for Games
• Parameterselektion für komplexe Modellierungsaufgaben der Wasserwirtschaft
• Reinforcement Learning

Publikationsliste
Publikationsliste (CSV)
Publikationsliste (PDF) im "American Psychological Association 6th edition (DOI)"-Zitierstil
Publikationsliste (PDF) im "Anglia Ruskin University - Harvard"-Zitierstil
Publikationsliste (PDF) im "Gesellschaft für Bildung und Forschung in Europa - Harvard"-Zitierstil

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