Ronald Ortner - Concepedia

Author

Ronald Ortner

Montanuniversität Leoben ORCID

Also Known As

Ortner, R. (Ronald), Ortner, Ronald, Ronald Ortner, Zilles, Sandra

Publications

2.4K

Citations

H-Index

Concepts

All Affiliations

Montanuniversität Leoben Centre Inria de l'Université de Lille Université de Lille

About

Ronald Ortner is an author at Montanuniversität Leoben specializing in computer science, engineering, and game theory.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	586
2	Computer Science	10	10	603
3	Management	6	6	153
4	Education	3	3	108
5	Business	1	1	25

Ronald Ortner

Publications

1.7K

Citations

H-Index

Page 1

	Year	Citations
Near-optimal Regret Bounds for Reinforcement Learning Thomas Jaksch, Ronald Ortner, Peter Auer	2010	707
UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem Peter Auer, Ronald Ortner Periodica Mathematica Hungarica Regret BoundsEngineeringStochastic OptimizationStochastic GameGame Theory	2010	287
Near-optimal Regret Bounds for Reinforcement Learning Peter Auer, Thomas Jaksch, Ronald Ortner	2008	171
Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes Peter Auer, Pratik Gajane, Ronald Ortner EngineeringStochastic OptimizationUncertainty QuantificationDistribution ChangesOnline Algorithm	2019	101
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning Ronald Ortner, Daniil Ryabko arXiv (Cornell University) Sublinear Regret BoundsUpper Confidence BoundsStochastic GameUncertainty QuantificationOnline Algorithm	2013	44
Non-Backtracking Random Walks and Cogrowth of Graphs Ronald Ortner, Wolfgang Woess Canadian Journal of Mathematics Network ScienceGraph TheoryEngineeringRandom GraphNon-backtracking Random Walks	2007	37
A Sliding-Window Algorithm for Markov Decision Processes with Arbitrarily Changing Rewards and Transitions Pratik Gajane, Ronald Ortner, Peter Auer arXiv (Cornell University)	2018	36
Regret bounds for restless Markov bandits Ronald Ortner, Daniil Ryabko, Peter Auer, Theoretical Computer Science Restless Markov BanditsComputer ScienceExploration V ExploitationMarkov Decision Process	2014	33
Regret Bounds for Restless Markov Bandits Ronald Ortner, Daniil Ryabko, Peter Auer, arXiv (Cornell University) Regret BoundsEngineeringStochastic GameBest PolicyGame Theory	2012	32
Adaptive aggregation for reinforcement learning in average reward Markov decision processes Ronald Ortner Annals of Operations Research EngineeringStochastic GameGame TheoryManagementSequential Decision Making	2012	31

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