Chair of Information Technology

Organisational unit: Chair

Research output

  1. 2019
  2. 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 journalArticleResearchpeer-review

  3. 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 conferencePosterResearchpeer-review

  4. 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 conferencePosterResearchpeer-review

  5. 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 conferenceAbstractResearchpeer-review

  6. Published

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

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

    Research output: Contribution to conferencePaperResearchpeer-review

  7. 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, Advances in Neural Information Processing Systems. Vol. 32. p. 12717 12727 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

  8. E-pub ahead of print

    Regret Bounds for Reinforcement Learning via Markov Chain Concentration

    Ortner, R., 2019, In : The journal of artificial intelligence research. p. 115-128

    Research output: Contribution to journalArticleResearchpeer-review

  9. Published

    Variational Regret Bounds for Reinforcement Learning

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

    Research output: Contribution to conferencePaperResearchpeer-review

  10. Published

    Variational Regret Bounds for Reinforcement Learning

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

    Research output: Contribution to conferencePosterResearchpeer-review

  11. 2018
  12. Published

    Online learning with randomized feedback graphs for optimal PUE attacks in cognitive radio networks

    Dabaghchian, M., Alipour-Fanid, A., Zeng, K., Wang, Q. & Auer, P., 1 Oct 2018, In : IEEE ACM transactions on networking. 26, 5, p. 2268-2281 14 p., 8466108.

    Research output: Contribution to journalArticleResearchpeer-review

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