Ronald Ortner

61 - 70 out of 79Page size: 10
Sort by: 1st author

Research output

  1. Published

    Anordnungen von Pseudokreisen

    Ortner, R., 2009.

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

  2. Published

    Combinations and Mixtures of Optimal Policies in Unichain MDPs are Optimal: arXiv.org e-Print archive

    Ortner, R., 2005

    Research output: Non-textual form › Web publication/site › Research

  3. Published

    Improved Upper Bounds on the Number of Vertices of Weight <=k

    Ortner, R., 2008, 24th European Workshop on Computational Geometry. p. 35-38

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

  4. Published

    Selecting Near-Optimal Approximate State Representations in Reinforcement Learning

    Ortner, R., Maillard, O.-A. & Ryabko, D., 2014, Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014. p. 140-154

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

  5. Published

    Forcing Subarrangements in Complete Arrangements of Pseudocircles

    Ortner, R., 2015, In: Journal of Computational Geometry. 6, 1, p. 235-248

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

  6. Published

    Optimal Behavior is Easier to Learn than the Truth

    Ortner, R., 2016, In: Minds and Machines. 26, 3, p. 243-252

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

  7. Published

    Algorithmic Learning Theory: 27th International Conference, ALT 2016, Proceedings

    Ortner, R. (Co-editor), Ulrich Simon, H. (Co-editor) & Zilles, S., 2016, Springer.

    Research output: Book/Report › Anthology › Research

  8. Published

    Guest Editors' Foreword

    Ortner, R. & Ulrich Simon, H., 2018, In: Theoretical Computer Science. 742

    Research output: Contribution to journal › Article › Research

  9. Published

    Variational Regret Bounds for Reinforcement Learning

    Ortner, R., Gajane, P. & Auer, P., 2019.

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

  10. E-pub ahead of print

    Regret Bounds for Learning State Representations in Reinforcement Learning

    Ortner, R., Pirotta, M., Lazaric, A., Fruit, R. & Maillard, O.-A., 2019, (E-pub ahead of print) Advances in Neural Information Processing Systems. Vol. 32. p. 12717 12727 p.

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

Previous 1...3 4 5 6 7 8 Next
View graph of relations

Contact

Phone: 1503

Latest Research Output

View more (79)