Research output

  1. 2020
  2. E-pub ahead of print

    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., Jun 2020, In : Central European Journal of Operations Research.

    Research output: Contribution to journalArticleResearchpeer-review

  3. 2019
  4. 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

  5. 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

  6. 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

  7. 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 proceedingConference contribution

  8. 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 proceedingConference contribution

  9. Published

    Variational Regret Bounds for Reinforcement Learning

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

    Research output: Contribution to conferencePaperResearchpeer-review

  10. 2018
  11. 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

  12. 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 conferencePaperResearchpeer-review

  13. Published

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

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

    Research output: Contribution to conferencePaperResearchpeer-review

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