Ronald Ortner
Research output
- 2016
- Published
Optimal Behavior is Easier to Learn than the Truth
Ortner, R., 2016, In: Minds and Machines. 26, 3, p. 243-252Research output: Contribution to journal › Article › Research › peer-review
- Published
Pareto Front Identification from Stochastic Bandit Feedback
Auer, P., Chiang, C.-K., Ortner, R. & Drugan, M., 2016, Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2016. p. 939-947 (JMLR Workshop and Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2015
- Published
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning
Kailasam, L., Ortner, R. & Ryabko, D., 7 Jul 2015.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Forcing Subarrangements in Complete Arrangements of Pseudocircles
Ortner, R., 2015, In: Journal of Computational Geometry. 6, 1, p. 235-248Research output: Contribution to journal › Article › Research › peer-review
- Published
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning
Kailasam, L., Ortner, R. & Ryabko, D., 2015, Proceedings of The 32nd International Conference on Machine Learning.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2014
- Published
Regret Bounds for Restless Markov Bandits
Ortner, R., Ryabko, D., Auer, P. & Munos, R., 2014, In: Theoretical Computer Science. 558, p. 62-76Research output: Contribution to journal › Article › Research › peer-review
- Published
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning
Ortner, R., Maillard, O.-A. & Ryabko, D., 2014, Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014. p. 140-154Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2013
- Published
Adaptive Aggregation for Reinforcement Learning in Average Reward Markov Decision Processes
Ortner, R., 2013, In: Annals of operations research. 208, p. 321-336Research 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
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
