Peter Auer

Research output

  1. 2022
  2. Published

    Hybrid Machine Learning for Anomaly Detection in Industrial Time-Series Measurement Data

    Terbuch, A., O'Leary, P. & Auer, P., 2022, 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2022) Proceedings: I2MTC 2022.

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

  3. Accepted/In press

    The bin covering with delivery problem, extended investigations for the online case

    Abraham, G., Auer, P., Dosa, G., Dulai, T., Tuza, Z. & Werner-Stark, A., 2022, (Accepted/In press) In: Central European Journal of Operations Research.

    Research output: Contribution to journalArticleResearchpeer-review

  4. 2021
  5. 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., Sep 2021, In: Central European Journal of Operations Research. 29, 3, p. 1079-1113 35 p.

    Research output: Contribution to journalArticleResearchpeer-review

  6. Published

    Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning

    Kittiworapanya, P., Pasupa, K. & Auer, P., 29 Jun 2021, IAIT 2021 - 12th International Conference on Advances in Information Technology: Intelligence and Innovation for Digital Business and Society. Association for Computing Machinery (ACM), 3471273. (ACM International Conference Proceeding Series).

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

  7. Published

    Learning to Drive with Deep Reinforcement Learning

    Chukamphaeng, N., Pasupa, K., Antenreiter, M. & Auer, P., 21 Jan 2021, KST 2021 - 2021 13th International Conference Knowledge and Smart Technology. Institute of Electrical and Electronics Engineers, p. 147-152 6 p. 9415770. (KST 2021 - 2021 13th International Conference Knowledge and Smart Technology).

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

  8. 2019
  9. 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

  10. 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 conferencePosterpeer-review

  11. 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 conferenceAbstractpeer-review

  12. 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

  13. 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

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