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2020

  • Rajan, Raghu and Diaz, Jessica Lizeth Borja and Guttikonda, Suresh and Ferreira, Fabio and Biedenkapp, André and Hutter, Frank (arXiv)(bib)
    MDP Playground: Controlling Dimensions of Hardness in Reinforcement Learning
    In: arXiv:1909.07750v3 [cs.LG] (2020)
  • Speck, David and Biedenkapp, André and Hutter, Frank and Mattmüller, Robert and Lindauer, Marius (arXiv)(bib)
    Learning Heuristic Selection with Dynamic Algorithm Configuration
    In: Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL@ICAPS'20)
    (Video presentation)(Code)(Project Page)
  • Franke, Jörg K. H. and Köhler, Gregor and Biedenkapp, André and Hutter, Frank (arXiv)(bib)
    Sample-Efficient Automated Deep Reinforcement Learning
    In: arXiv:2009.01555 [cs.LG] (2020)
  • Shala, Gresa and Biedenkapp, André and Awad, Noor and Adriaensen, Steven and Lindauer, Marius and Hutter, Frank (pdf)(poster)(bib)
    Learning Step-Size Adaptation in CMA-ES
    In: Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN'20)
    (Video presentation)(Code)(Project Page)
  • Eimer, Theresa and Biedenkapp, André and Hutter, Frank and Lindauer, Marius (pdf)(bib)
    Towards Self-Paced Context Evaluations for Contextual Reinforcement Learning
    In: Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20)
    (Video presentation)(Code)
  • Biedenkapp, André and Rajan, Raghu and Hutter, Frank and Lindauer, Marius (pdf)(slides)(bib)
    Towards TempoRL: Learning When to Act
    In: Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20)
    (Video presentation)(Code)
  • Biedenkapp, André and Bozkurt, H. Furkan and Eimer, Theresa and Hutter, Frank and Lindauer, Marius (published)(pdf)(bib)
    Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework
    In: Proceedings of the Twenty-fourth European Conference on Artificial Intelligence (ECAI'20)
    (Video presentation)(Code)(Project Page)

2019

  • Lindauer, Marius and Feurer, Matthias and Eggensperger, Katharina and Biedenkapp, André and Hutter, Frank (arXiv)(slides)(bib)
    Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters
    In: IJCAI 2019 DSO Workshop
  • Biedenkapp, André and Bozkurt, H. Furkan and Hutter, Frank and Lindauer, Marius (arXiv)(pdf)(bib)
    Towards White-box Benchmarks for Algorithm Control
    In: IJCAI 2019 DSO Workshop
    (Project Page)
  • Lindauer, Marius and Eggensperger, Katharina and Feurer, Matthias and Biedenkapp, André and Marben, Joshua and Müller, Philipp and Hutter, Frank (arXiv)(bib)
    BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters
    In: arXiv:1908.06756 [cs.LG] (2019)
    (Code)(Project Page)

2018

  • Biedenkapp, André and Marben, Joshua and Lindauer, Marius and Hutter, Frank (pdf)(slides)(bib)
    CAVE: Configuration Assessment, Visualization and Evaluation
    In: Proceedings of the International Conference on Learning and Intelligent Optimization (LION'18)
    (Video presentation)(Code)(Project Page)

2017

  • Biedenkapp, André and Lindauer, Marius and Eggensperger, Katharina and Fawcett, Chris and Hoos, Holger H. and Hutter, Frank (pdf)(poster)(bib)
    Efficient Parameter Importance Analysis via Ablation with Surrogates
    In: Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI'17)
    (Code)(Project Page)