Ronald Ortner
Research output
- 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
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
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
- 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
- Published
Regret Bounds for Reinforcement Learning via Markov Chain Concentration
Ortner, R., 26 Aug 2021.Research output: Contribution to conference › Poster › Research › peer-review
- 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
Competing with an Infinite Set of Models in Reinforcement Learning
Nguyen, P., Maillard, O.-A., Ryabko, D. & Ortner, R., 2013, JMLR Workshop and Conference Proceedings Volume 31 : Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics. p. 463-471Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
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
Optimal regret bounds for selecting the state representation in reinforcement learning.
Maillard, O.-A., Nguyen, P., Ortner, R. & Ryabko, D., 2013, JMLR Workshop and Conference Proceedings Volume 28 : Proceedings of The 30th International Conference on Machine Learning. p. 543-551Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
