Ronald Ortner
Research output
- 2025
- Accepted/In press
Online Regret Bounds for Satisficing in MDPs
Hajiabolhassan, H. & Ortner, R., 2025, (Accepted/In press) In: Mathematics of Operations Research. ??? Stand: 27. März 2025, ??? Stand: 27. März 2025, p. ??? Stand: 27. März 2025Research output: Contribution to journal › Article › Research › peer-review
- 2024
- Published
Understanding the Gaps in Satisficing Bandits
Rouyer, C., Ortner, R. & Auer, P., 2024.Research output: Contribution to conference › Poster › Research › peer-review
- 2023
- Published
Adaptive Algorithms for Meta-Induction
Ortner, R., 7 Oct 2023, In: Journal for general philosophy of science = Zeitschrift für allgemeine Wissenschaftstheorie. 54.2023, 3, p. 433–450 18 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Regret Bounds for Satisficing in Multi-Armed Bandit Problems
Michel, T., Hajiabolhassan, H. & Ortner, R., 7 Jun 2023, In: Transactions on machine learning research. 2023, August, 19 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction
Keshavarz, S., Vita, P., Rückert, E., Ortner, R. & Thonhauser, G., 19 Jan 2023, SPE AI Symposium 2023: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. (Society of Petroleum Engineers - SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms
Gajane, P., Auer, P. & Ortner, R., 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23). p. 3714-3722Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Accepted/In press
Online Regret Bounds for Satisficing in MDPs
Hajiabolhassan, H. & Ortner, R., 2023, (Accepted/In press).Research output: Contribution to conference › Poster › Research › peer-review
- Published
When is Cartesian product a Cayley graph?
Dobson, E., Hujdurovic, A., Imrich, W. & Ortner, R., 2023, Proceedings of the 12th European Conference on Combinatorics, Graph Theory and Applications. p. 362-367Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2022
- Published
Decision Making Under Uncertainty and Reinforcement Learning
Dimitrakakis, C. & Ortner, R., Dec 2022, Springer. (Intelligent Systems Reference Library; vol. 223)Research output: Book/Report › Book › Education
- Published
Quantification of Transfer in Reinforcement Learning via Regret Bounds for Learning Agents
Tuynman, A. & Ortner, R., Sept 2022.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Regret Bounds for Satisficing in Multi-Armed Bandit Problems
Michel, T., Hajiabolhassan, H. & Ortner, R., Sept 2022.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Predicting Packaging Sizes Using Machine Learning
Heininger, M. & Ortner, R., 22 Aug 2022, In: Operations research forum. 43.2022, 3, 14 p., 43.Research output: Contribution to journal › Article › Research › peer-review
- 2021
- 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., Sept 2021, In: Central European Journal of Operations Research. 29, 3, p. 1079-1113 35 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Regret Bounds for Reinforcement Learning via Markov Chain Concentration
Ortner, R., 26 Aug 2021.Research output: Contribution to conference › Poster › Research › peer-review
- 2020
- 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
- 2019
- 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
