André Biedenkapp

1. Contextualize Me -- The Case for Context in Reinforcement Learning
   2022/02/09 by Carolin Benjamins, Theresa Eimer, Benjamins, Carolin +14 · 9 citations
   Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
2. Automated Dynamic Algorithm Configuration
   2022/05/27 by Steven Adriænsen, Adriaensen, Steven, André Biedenkapp +11 · 9 citations
   Computer Science · #Metaheuristic Optimization Algorithms Research #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms
3. Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization
   2024/03/16 by Sai Prasanna, Karim Farid, Prasanna, Sai +5 · 1 voice · 6 citations
   Computer Science · #Evolutionary Algorithms and Applications
4. BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters
   2019/08/16 by Marius Lindauer, Lindauer, Marius, Katharina Eggensperger +11 · 3 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
5. DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning
   2022/06/07 by René Sass, Eddie Bergman, Sass, René +7 · 3 citations
   Computer Science · #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning
6. Sample-Efficient Automated Deep Reinforcement Learning
   2020/09/03 by Jörg K. H. Franke, Franke, Jörg K. H., Gregor Köhler +5 · 2 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
7. Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning
   2024/04/15 by Tidiane Camaret Ndir, Ndir, Tidiane Camaret, André Biedenkapp +3 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
8. Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration
   2022/02/07 by André Biedenkapp, Biedenkapp, André, Nguyen Dang +7 · 2 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)
9. CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC
   2024/07/08 by Philipp Bordne, Bordne, Philipp, muhammad hasan +7 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG)