Research output

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  1. 2021
  2. Published

    Hydraulic Concentric Tubular Pumping System Simulation and Testing

    Langbauer, C., Vita, P., Jax, G. & Judmaier, D., 8 Feb 2021, In: Journal of petroleum & environmental biotechnology . 11.2021, 5, 15 p.

    Research output: Contribution to journal › Article › Research › peer-review

  3. Published

    KI 2021: Advances in Artificial Intelligence - Preface

    Edelkamp, S., Möller, R. & Rückert, E., 2021, KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI, Virtual Event, September 27 – October 1, 2021, Proceedings. Edelkamp, S., Möller, R. & Rückert, E. (eds.). Vol. 12873 LNAI. p. v-vi (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  4. 2020
  5. Published

    Evolutionary training and abstraction yields algorithmic generalization of neural computers

    Tanneberg, D., Rückert, E. & Peters, J., 16 Nov 2020, In: Nature machine intelligence.

    Research output: Contribution to journal › Article › Research › peer-review

  6. Published

    Exploiting Chlorophyll Fluorescense for building robust low-cost Mowing Area Detectors

    Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., 25 Oct 2020.

    Research output: Contribution to conference › Paper › peer-review

  7. Published

    Learning hierarchical acquisition functions for bayesian optimization

    Rottmann, N., Kunavar, T., Babic, J., Peters, J. & Rueckert, E., 24 Oct 2020, IEEE International Conference on Intelligent Robots and Systems. p. 5490-5496 7 p. (IEEE International Conference on Intelligent Robots and Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  8. Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates

    Çallar, T. C., Rueckert, E. & Böttger, S., 1 Sept 2020, In: Current directions in biomedical engineering. 6.2020, 3, 4 p., 20203031.

    Research output: Contribution to journal › Article › Research › peer-review

  9. Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control

    Rückert, E., Čamernik, J., Peters, J. & Babič, J., 16 Apr 2020, In: Scientific reports (e-only). 6.2016, 1, 12 p., 28455 / 6694.

    Research output: Contribution to journal › Article › Research › peer-review

  10. Published

    Regret Bounds for Reinforcement Learning via Markov Chain Concentration

    Ortner, R., 23 Jan 2020, In: The journal of artificial intelligence research. 67.2020, 1, p. 115-128 14 p.

    Research output: Contribution to journal › Article › Research › peer-review

  11. 2019
  12. Published

    Regret Bounds for Learning State Representations in Reinforcement Learning

    Ortner, R., Pirotta, M., Lazaric, A., Fruit, R. & Maillard, O-A., Dec 2019.

    Research output: Contribution to conference › Poster › Research › peer-review

  13. Published

    Experience Reuse with Probabilistic Movement Primitives

    Stark, S., Peters, J. & Rueckert, E., Nov 2019, IEEE International Conference on Intelligent Robots and Systems. p. 1210-1217 8 p. (IEEE International Conference on Intelligent Robots and Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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