Research output

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  1. 2020
  2. Published

    Online exam proctoring system

    Antenreiter, M., 16 Oct 2020

    Research output: Non-textual form › Software › Education

  3. Published

    A fast video compression algorithm for online exams

    Antenreiter, M., 11 Sept 2020

    Research output: Non-textual form › Software › Research

  4. 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

  5. 2019
  6. Published

    A Reinforcement Learning Motivated Algorithm for Process Optimization

    Ábrahám, Á., Auer, P., Dósa, G., Dulai, T. & Werner-Stark, Á., 18 Dec 2019, In: Periodica Polytechnica Civil Engineering. 63.2019, 4, p. 961-970 10 p.

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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

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