Ronald Ortner

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Research output

  1. 2025
  2. Accepted/In press

    Online Regret Bounds for Satisficing in MDPs

    Hajiabolhassan, H. & Ortner, R., 2025, (Accepted/In press) In: Mathematics of Operations Research. ??? Stand: 27. März 2025, ??? Stand: 27. März 2025, p. ??? Stand: 27. März 2025

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

  3. 2024
  4. Published

    Understanding the Gaps in Satisficing Bandits

    Rouyer, C., Ortner, R. & Auer, P., 2024.

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

  5. 2023
  6. Published

    Adaptive Algorithms for Meta-Induction

    Ortner, R., 7 Oct 2023, In: Journal for general philosophy of science = Zeitschrift für allgemeine Wissenschaftstheorie. 54.2023, 3, p. 433–450 18 p.

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

  7. Published

    Regret Bounds for Satisficing in Multi-Armed Bandit Problems

    Michel, T., Hajiabolhassan, H. & Ortner, R., 7 Jun 2023, In: Transactions on machine learning research. 2023, August, 19 p.

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

  8. Published

    A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction

    Keshavarz, S., Vita, P., Rückert, E., Ortner, R. & Thonhauser, G., 19 Jan 2023, SPE AI Symposium 2023: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. (Society of Petroleum Engineers - SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023).

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

  9. Published

    Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms

    Gajane, P., Auer, P. & Ortner, R., 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23). p. 3714-3722

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

  10. Accepted/In press

    Online Regret Bounds for Satisficing in MDPs

    Hajiabolhassan, H. & Ortner, R., 2023, (Accepted/In press).

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

  11. Published

    When is Cartesian product a Cayley graph?

    Dobson, E., Hujdurovic, A., Imrich, W. & Ortner, R., 2023, Proceedings of the 12th European Conference on Combinatorics, Graph Theory and Applications. p. 362-367

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

  12. 2022
  13. Published

    Decision Making Under Uncertainty and Reinforcement Learning

    Dimitrakakis, C. & Ortner, R., Dec 2022, Springer. (Intelligent Systems Reference Library; vol. 223)

    Research output: Book/Report › Book › Education

  14. Published

    Quantification of Transfer in Reinforcement Learning via Regret Bounds for Learning Agents

    Tuynman, A. & Ortner, R., Sept 2022.

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

  15. Published

    Regret Bounds for Satisficing in Multi-Armed Bandit Problems

    Michel, T., Hajiabolhassan, H. & Ortner, R., Sept 2022.

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

  16. Published

    Predicting Packaging Sizes Using Machine Learning

    Heininger, M. & Ortner, R., 22 Aug 2022, In: Operations research forum. 43.2022, 3, 14 p., 43.

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

  17. 2021
  18. Published

    A new heuristic and an exact approach for a production planning problem

    Auer, P., Dósa, G., Dulai, T., Fügenschuh, A., Näser, P., Ortner, R. & Werner-Starkne, A., Sept 2021, In: Central European Journal of Operations Research. 29, 3, p. 1079-1113 35 p.

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

  19. Published

    Regret Bounds for Reinforcement Learning via Markov Chain Concentration

    Ortner, R., 26 Aug 2021.

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

  20. 2020
  21. 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

  22. 2019
  23. 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

  24. Published

    Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes

    Auer, P., Gajane, P. & Ortner, R., 27 Jun 2019.

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

  25. Published

    Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information

    Auer, P., Chen, Y., Gajane, P., Lee, C.-W., Luo, H., Ortner, R. & Wei, C.-Y., 2019.

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

  26. Published

    Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes

    Auer, P., Gajane, P. & Ortner, R., 2019, Proceedings of the 32nd Conference on Learning Theory, COLT 2019. p. 138-158

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

  27. 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

  28. Published

    Variational Regret Bounds for Reinforcement Learning

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

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

  29. Published

    Variational Regret Bounds for Reinforcement Learning

    Ortner, R., Gajane, P. & Auer, P., 2019, Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, UAI 2019. p. 81-90

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

  30. 2018
  31. Published

    Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes

    Auer, P., Gajane, P. & Ortner, R., 2018.

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

  32. Published

    Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes

    Auer, P., Gajane, P. & Ortner, R., 2018.

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

  33. Published

    A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.

    Gajane, P., Ortner, R. & Auer, P., 2018.

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

  34. Published

    Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning

    Fruit, R., Pirotta, M., Lazaric, A. & Ortner, R., 2018, Proceedings of the 35th International Conference on Machine Learning, ICML 2018. Vol. PMLR 80. p. 1578-1586

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

  35. Published

    Guest Editors' Foreword

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

    Research output: Contribution to journal › Article › Research

  36. 2016
  37. Published

    Improved Learning Complexity in Combinatorial Pure Exploration Bandits

    Gabillon, V., Lazaric, A., Ghavamzadeh, M., Ortner, R. & Bartlett, P., 10 May 2016.

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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 2015
  43. 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

  44. 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

  45. 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

  46. 2014
  47. 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

  48. 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

  49. 2013
  50. Published

    Adaptive Aggregation for Reinforcement Learning in Average Reward Markov Decision Processes

    Ortner, R., 2013, In: Annals of operations research. 208, p. 321-336

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

  51. Published

    Competing with an Infinite Set of Models in Reinforcement Learning

    Nguyen, P., Maillard, O.-A., Ryabko, D. & Ortner, R., 2013, JMLR Workshop and Conference Proceedings Volume 31 : Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics. p. 463-471

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

  52. Published

    Optimal regret bounds for selecting the state representation in reinforcement learning.

    Maillard, O.-A., Nguyen, P., Ortner, R. & Ryabko, D., 2013, JMLR Workshop and Conference Proceedings Volume 28 : Proceedings of The 30th International Conference on Machine Learning. p. 543-551

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

  53. 2012
  54. Published

    Online Regret Bounds for Undiscounted Continuous Reinforcement Learning

    Ortner, R. & Ryabko, D., 2012, Advances in Neural Information Processing Systems 25. MIT Press, p. 1772-1780

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

  55. Published

    Online Regret Bounds for Undiscounted Continuous Reinforcement Learning

    Ortner, R. & Ryabko, D., 2012.

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

  56. Published

    PAC-Bayesian Analysis of Contextual Bandits

    Seldin, Y., Auer, P., Laviolette, F., Shawe-Taylor, J. S. & Ortner, R., 2012, Advances in Neural Information Processing Systems 24. MIT Press, p. 1683-1691

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

  57. Published

    Regret Bounds for Restless Markov Bandits

    Ortner, R., Ryabko, D., Auer, P. & Munos, R., 2012, Algorithmic Learning Theory 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings. p. 214-228

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

  58. 2011
  59. Published

    Mechanizing Induction

    Ortner, R. & Leitgeb, H., 2011, Handbook of the History of Logic, Volume 10: Inductive Logic. p. 719-772

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

  60. Published

    PAC-Bayesian Analysis of Contextual Bandits

    Seldin, Y., Auer, P., Laviolette, F., Shawe-Taylor, J. S. & Ortner, R., 2011.

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

  61. 2010
  62. Published

    Exploiting Similarity Information in Reinforcement Learning. Similarity Models for Multi-Armed Bandits and MDPs

    Ortner, R., 2010, Proceedings of the 2nd International Conference on Agents and Artificial Intelligence, Volume 1 (Artificial Intelligence). p. 203-210

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

  63. Published

    Near-optimal Regret Bounds for Reinforcement Learning

    Jaksch, T., Ortner, R. & Auer, P., 2010, In: Journal of machine learning research (JMLR). 11, p. 1563-1600

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

  64. Published

    Online Regret Bounds for Markov Decision Processes with Deterministic Transitions

    Ortner, R., 2010, In: Theoretical Computer Science. 411, p. 2684-2695

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

  65. Published

    UCB Revisited: Improved Regret Bounds for the Stochastic Multi-Armed Bandit Problem

    Auer, P. & Ortner, R., 2010, In: Periodica Mathematica Hungarica. 61, p. 55-65

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

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