Research output

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  1. 2015
  2. 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

  3. 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

  4. 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

  5. 2014
  6. 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

  7. 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

  8. 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

  9. 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

  10. 2013
  11. 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

  12. 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

  13. 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

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