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2021

  • Biedenkapp, André and Rajan, Raghu and Hutter, Frank and Lindauer, Marius (published)(pdf)(arXiv)(code)(supplementary)(poster)(bib)
    TempoRL: Learning When to Act
    In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021)
  • Zhang, Baohe and Rajan, Raghu and Pineda, Luis and Lambert, Nathan and Biedenkapp, André and Chua, Kurtland and Hutter, Frank and Calandra, Roberto (published)(pdf)(arXiv)(code)(bib)(blog post)(video presentation)
    On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
    In: Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS)'21

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)
  • Biedenkapp, André and Rajan, Raghu and Hutter, Frank and Lindauer, Marius (pdf)(code)(slides)(bib)(video presentation)
    Towards TempoRL: Learning When to Act
    In: Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20)

2019

  • Rajan, Raghu and Hutter, Frank (pdf)(arXiv)(bib)
    MDP Playground: Meta-Features in Reinforcement Learning
    In: NeurIPS 2019 Deep RL Workshop