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Csaba Szepesvari
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Cited by
Cited by
Year
Bandit based monte-carlo planning
L Kocsis, C Szepesvári
European conference on machine learning, 282-293, 2006
50502006
Bandit algorithms
T Lattimore, C Szepesvári
Cambridge University Press, 2020
41622020
Algorithms for Reinforcement Learning
C Szepesvari
Morgan and Claypool, 2010
2537*2010
Improved algorithms for linear stochastic bandits
Y Abbasi-Yadkori, C Szepesvári, D Pál
Advances in Neural Information Processing Systems, 2312-2320, 2011
25332011
Convergence results for single-step on-policy reinforcement-learning algorithms
S Singh, T Jaakkola, ML Littman, C Szepesvári
Machine learning 38 (3), 287-308, 2000
11212000
Exploration–exploitation tradeoff using variance estimates in multi-armed bandits
JY Audibert, R Munos, C Szepesvári
Theoretical Computer Science 410 (19), 1876-1902, 2009
8672009
Fast gradient-descent methods for temporal-difference learning with linear function approximation
RS Sutton, HR Maei, D Precup, S Bhatnagar, D Silver, C Szepesvári, ...
Proceedings of the 26th annual international conference on machine learning …, 2009
7992009
Finite-Time Bounds for Fitted Value Iteration.
R Munos, C Szepesvári
Journal of Machine Learning Research 9 (5), 2008
7632008
Parametric bandits: The generalized linear case
S Filippi, O Cappe, A Garivier, C Szepesvári
Advances in neural information processing systems 23, 2010
6612010
X-Armed Bandits.
S Bubeck, R Munos, G Stoltz, C Szepesvári
Journal of Machine Learning Research 12 (5), 2011
5662011
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
A Antos, C Szepesvári, R Munos
Machine Learning 71 (1), 89-129, 2008
5632008
Regret bounds for the adaptive control of linear quadratic systems
Y Abbasi-Yadkori, C Szepesvári
Proceedings of the 24th Annual Conference on Learning Theory, 1-26, 2011
5072011
Learning with a strong adversary
R Huang, B Xu, D Schuurmans, C Szepesvári
arXiv preprint arXiv:1511.03034, 2015
4862015
On the global convergence rates of softmax policy gradient methods
J Mei, C Xiao, C Szepesvari, D Schuurmans
International conference on machine learning, 6820-6829, 2020
4122020
Online learning under delayed feedback
P Joulani, A Gyorgy, C Szepesvári
International conference on machine learning, 1453-1461, 2013
3952013
Convergent temporal-difference learning with arbitrary smooth function approximation
H Maei, C Szepesvari, S Bhatnagar, D Precup, D Silver, RS Sutton
Advances in neural information processing systems 22, 2009
3932009
Model-based reinforcement learning with value-targeted regression
A Ayoub, Z Jia, C Szepesvari, M Wang, L Yang
International Conference on Machine Learning, 463-474, 2020
3862020
A generalized reinforcement-learning model: Convergence and applications
ML Littman, C Szepesvári
ICML 96, 310-318, 1996
3861996
Tight regret bounds for stochastic combinatorial semi-bandits
B Kveton, Z Wen, A Ashkan, C Szepesvari
Artificial Intelligence and Statistics, 535-543, 2015
3832015
Toward off-policy learning control with function approximation.
HR Maei, C Szepesvári, S Bhatnagar, RS Sutton
ICML 10, 719-726, 2010
3652010
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Articles 1–20