Research output

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  1. 2016
  2. Published

    Improved Learning Complexity in Combinatorial Pure Exploration Bandits

    Gabillon, V., Lazaric, A., Ghavamzadeh, M., Ortner, R. & Bartlett, P., 2016, Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2016. p. 1004-1012 (JMLR Workshop and Conference Proceedings).

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

  3. 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

  4. Published

    Pareto Front Identification from Stochastic Bandit Feedback

    Auer, P., Chiang, C-K., Ortner, R. & Drugan, M., 2016, Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2016. p. 939-947 (JMLR Workshop and Conference Proceedings).

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

  5. 2015
  6. Published

    Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning

    Kailasam, L., Ortner, R. & Ryabko, D., 7 Jul 2015.

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

  7. 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

  8. Published

    Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning

    Kailasam, L., Ortner, R. & Ryabko, D., 2015, Proceedings of The 32nd International Conference on Machine Learning.

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

  9. 2014
  10. Published

    Algorithmic Learning Theory: 25th International Conference, ALT 2014 Bled, Slovenia, October 8-10, 2014 Proceedings

    Auer, P., Clark, A., Zeugmann, T. & Zilles, S., 1 Jan 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Berlin, Vol. 8776. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8776).

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

  11. Published

    Editors’ introduction

    Auer, P., Clark, A., Zeugmann, T. & Zilles, S., 1 Jan 2014, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8776, p. 1-7 7 p.

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

  12. Published

    Regret Bounds for Restless Markov Bandits

    Ortner, R., Ryabko, D., Auer, P. & Munos, R., 2014, In: Theoretical Computer Science. 558, p. 62-76

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

  13. 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

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