Ronald Ortner

Research output

  1. Published

    Improved Learning Complexity in Combinatorial Pure Exploration Bandits

    Gabillon, V., Lazaric, A., Ghavamzadeh, M., Ortner, R. & Bartlett, P., 2016, Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2016. p. 1004-1012 (JMLR Workshop and Conference Proceedings).

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

  2. Published

    Improved Learning Complexity in Combinatorial Pure Exploration Bandits

    Gabillon, V., Lazaric, A., Ghavamzadeh, M., Ortner, R. & Bartlett, P., 10 May 2016.

    Research output: Contribution to conferencePosterResearchpeer-review

  3. Published

    Improved Rates for the Stochastic Continuum-Armed Bandit Problem

    Auer, P., Ortner, R. & Szepesvári, C., 2007, Proceedings of the 20th Annual Conference on Learning Theory. Springer, p. 454-468

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

  4. 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 proceedingConference contribution

  5. Published

    Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning

    Kailasam, L., Ortner, R. & Ryabko, D., 7 Jul 2015.

    Research output: Contribution to conferencePosterResearchpeer-review

  6. Published

    Improved Upper Bounds on the Number of Vertices of Weight <=k

    Ortner, R., 2008, 24th European Workshop on Computational Geometry. p. 35-38

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

  7. Published

    Joining Two Paradigms of Machine Learning

    Ortner, R., 2008, In: ÖGAI-Journal. 27, p. 3-6

    Research output: Contribution to journalArticleResearchpeer-review

  8. Published

    Linear dependence of stationary distributions in ergodic Markov decision processes

    Ortner, R., 2007, In: Operations Research Letters. 35, p. 619-626

    Research output: Contribution to journalArticleResearchpeer-review

  9. Published

    Logarithmic online regret bounds for undiscounted reinforcement learning

    Auer, P. & Ortner, R., 2006.

    Research output: Contribution to conferencePosterResearchpeer-review

  10. Published

    Logarithmic online regret bounds for undiscounted reinforcement learning

    Auer, P. & Ortner, R., 2007, Advances in Neural Information Processing Systems 19. MIT Press, p. 49-56

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