Biedenkapp, André

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, André Biedenkapp, Adriaensen, Steven +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 · 5 citations
   Computer Science · #Evolutionary Algorithms and Applications
4. On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
   2021/02/26 by Zhang, Baohe, Rajan, Raghu, Pineda, Luis +5 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Systems and Control (eess.SY) #electronic engineering #information engineering
5. BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters
   2019/08/16 by Marius Lindauer, Lindauer, Marius, Katharina Eggensperger +11 · 2 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
6. 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
7. Learning Heuristic Selection with Dynamic Algorithm Configuration
   2020/06/15 by Speck, David, Biedenkapp, André, Hutter, Frank +2 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Sample-Efficient Automated Deep Reinforcement Learning
   2020/09/03 by Jörg K. H. Franke, Gregor Köhler, Franke, Jörg K. H. +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
9. TempoRL: Learning When to Act
   2021/06/09 by Biedenkapp, André, Rajan, Raghu, Hutter, Frank +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters
    2019/08/19 by Lindauer, Marius, Feurer, Matthias, Eggensperger, Katharina +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. 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
12. 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)
13. 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)
14. Hierarchical Transformers are Efficient Meta-Reinforcement Learners
    2024/02/09 by Shala, Gresa, Biedenkapp, André, Grabocka, Josif · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
15. On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ,λ))-GA
    2025/02/27 by Nguyen, Tai, Le, Phong, Biedenkapp, André +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)