Chair of Information Technology (150)
Organisational unit: Chair
41 - 50 out of 219Page size: 10
Research output
- 2020
- Published
Clusteranalyse für die Bildung von Produktgruppen zur Unterstützung der Lagerdimensionierung
Kohlhofer, J. B., 2020Research output: Thesis › Master's Thesis
- Published
Maschinelles Lernen in der Nachschubsteuerung - Verbesserung der Nachschubsteuerung durch den Einsatz von maschinellem Lernen in der Bedarfsprognose
Labner, J., 2020Research output: Thesis › Master's Thesis
- 2019
- 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
- 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
- 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
- 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
- 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. 138-158Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
- Published
Variational Regret Bounds for Reinforcement Learning
Ortner, R., Gajane, P. & Auer, P., 2019.Research output: Contribution to conference › Paper › peer-review
- 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. 81-90Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
