Csaba Szepesvári

2009
49	EE	Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári: Exploration-exploitation tradeoff using variance estimates in multi-armed bandits. Theor. Comput. Sci. 410(19): 1876-1902 (2009)
2008
48	EE	András Antos, Varun Grover, Csaba Szepesvári: Active Learning in Multi-armed Bandits. ALT 2008: 287-302
47	EE	Gábor Bartók, Csaba Szepesvári, Sandra Zilles: Active Learning of Group-Structured Environments. ALT 2008: 329-343
46	EE	Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor: Regularized Fitted Q-Iteration: Application to Planning. EWRL 2008: 55-68
45	EE	Volodymyr Mnih, Csaba Szepesvári, Jean-Yves Audibert: Empirical Bernstein stopping. ICML 2008: 672-679
44	EE	Richard S. Sutton, Csaba Szepesvári, Hamid Reza Maei: A Convergent O(n) Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation. NIPS 2008: 1609-1616
43	EE	Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvári: Online Optimization in X-Armed Bandits. NIPS 2008: 201-208
42	EE	Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor: Regularized Policy Iteration. NIPS 2008: 441-448
41	EE	Alejandro Isaza, Csaba Szepesvári, Vadim Bulitko, Russell Greiner: Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction. UAI 2008: 306-314
40	EE	Richard S. Sutton, Csaba Szepesvári, Alborz Geramifard, Michael H. Bowling: Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping. UAI 2008: 528-536
39	EE	András Antos, Csaba Szepesvári, Rémi Munos: Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path. Machine Learning 71(1): 89-129 (2008)
2007
38	EE	Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári: Tuning Bandit Algorithms in Stochastic Environments. ALT 2007: 150-165
37	EE	Peter Auer, Ronald Ortner, Csaba Szepesvári: Improved Rates for the Stochastic Continuum-Armed Bandit Problem. COLT 2007: 454-468
36	EE	Amir Massoud Farahmand, Csaba Szepesvári, Jean-Yves Audibert: Manifold-adaptive dimension estimation. ICML 2007: 265-272
35	EE	István Bíró, Zoltán Szamonek, Csaba Szepesvári: Sequence Prediction Exploiting Similary Information. IJCAI 2007: 1576-1581
34	EE	András György, Levente Kocsis, Ivett Szabó, Csaba Szepesvári: Continuous Time Associative Bandit Problems. IJCAI 2007: 830-835
33	EE	András Antos, Rémi Munos, Csaba Szepesvári: Fitted Q-iteration in continuous action-space MDPs. NIPS 2007
2006
32	EE	Levente Kocsis, Csaba Szepesvári, Mark H. M. Winands: RSPSA: Enhanced Parameter Optimization in Games. ACG 2006: 39-56
31	EE	András Antos, Csaba Szepesvári, Rémi Munos: Learning Near-Optimal Policies with Bellman-Residual Minimization Based Fitted Policy Iteration and a Single Sample Path. COLT 2006: 574-588
30	EE	Levente Kocsis, Csaba Szepesvári: Bandit Based Monte-Carlo Planning. ECML 2006: 282-293
29	EE	Péter Torma, Csaba Szepesvári: Local Importance Sampling: A Novel Technique to Enhance Particle Filtering. Journal of Multimedia 1(1): 32-43 (2006)
28	EE	Levente Kocsis, Csaba Szepesvári: Universal parameter optimisation in games based on SPSA. Machine Learning 63(3): 249-286 (2006)
2005
27	EE	Zoltán Szamonek, Csaba Szepesvári: X-mHMM: An Efficient Algorithm for Training Mixtures of HMMs When the Number of Mixtures Is Unknown. ICDM 2005: 434-441
26	EE	Csaba Szepesvári, Rémi Munos: Finite time bounds for sampling based fitted value iteration. ICML 2005: 880-887
2004
25		Csaba Szepesvári: Shortest Path Discovery Problems: A Framework, Algorithms and Experimental Results. AAAI 2004: 550-555
24		Csaba Szepesvári, András Kocsor, Kornél Kovács: Kernel Machine Based Feature Extraction Algorithms for Regression Problems. ECAI 2004: 1091-1092
23	EE	Péter Torma, Csaba Szepesvári: Enhancing Particle Filters Using Local Likelihood Sampling. ECCV (1) 2004: 16-27
22	EE	András Kocsor, Kornél Kovács, Csaba Szepesvári: Margin Maximizing Discriminant Analysis. ECML 2004: 227-238
21	EE	Csaba Szepesvári, William D. Smart: Interpolation-based Q-learning. ICML 2004
2001
20	EE	Csaba Szepesvári: Efficient approximate planning in continuous space Markovian Decision Problems. AI Commun. 14(3): 163-176 (2001)
19	EE	András Lörincz, György Hévízi, Csaba Szepesvári: Ockham's Razor Modeling of the Matrisome Channels of the Basal Ganglia Thalamocortical Loops. Int. J. Neural Syst. 11(2): 125-143 (2001)
2000
18	EE	György Balogh, Ervin Dobler, Tamás Gröbler, Béla Smodics, Csaba Szepesvári: FlexVoice: A Parametric Approach to High-Quality Speech Synthesis. TSD 2000: 189-194
17	EE	Zsolt Kalmár, Csaba Szepesvári, András Lörincz: Modular Reinforcement Learning: A Case Study in a Robot Domain. Acta Cybern. 14(3): 507-522 (2000)
16		Satinder P. Singh, Tommi Jaakkola, Michael L. Littman, Csaba Szepesvári: Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms. Machine Learning 38(3): 287-308 (2000)
1999
15		Csaba Szepesvári, Michael L. Littman: A Unified Analysis of Value-Function-Based Reinforcement Learning Algorithms. Neural Computation 11(8): 2017-2060 (1999)
14	EE	Zsolt Kalmár, Zsolt Marczell, Csaba Szepesvári, András Lörincz: Parallel and robust skeletonization built on self-organizing elements. Neural Networks 12(1): 163-173 (1999)
13		János Murvai, Kristian Vlahovicek, Endre Barta, Csaba Szepesvári, Cristina Acatrinei, Sándor Pongor: The SBASE protein domain library, release 6.0: a collection of annotated protein sequence segments. Nucleic Acids Research 27(1): 257-259 (1999)
1998
12		Zoltán Gábor, Zsolt Kalmár, Csaba Szepesvári: Multi-criteria Reinforcement Learning. ICML 1998: 197-205
11	EE	Csaba Szepesvári: Non-Markovian Policies in Sequential Decision Problems. Acta Cybern. 13(3): 305-318 (1998)
10		Zsolt Kalmár, Csaba Szepesvári, András Lörincz: Module-Based Reinforcement Learning: Experiments with a Real Robot. Auton. Robots 5(3-4): 273-295 (1998)
9		Zsolt Kalmár, Csaba Szepesvári, András Lörincz: Module-Based Reinforcement Learning: Experiments with a Real Robot. Machine Learning 31(1-3): 55-85 (1998)
1997
8		Csaba Szepesvári: Learning and Exploitation Do Not Conflict Under Minimax Optimality. ECML 1997: 242-249
7	EE	Zsolt Kalmár, Csaba Szepesvári, András Lörincz: Module Based Reinforcement Learning: An Application to a Real Robot. EWLR 1997: 29-45
6		Csaba Szepesvári: The Asymptotic Convergence-Rate of Q-learning. NIPS 1997
5	EE	Csaba Szepesvári, Szabolcs Cimmer, András Lörincz: Neurocontroller using dynamic state feedback for compensatory control. Neural Networks 10(9): 1691-1708 (1997)
1996
4		Csaba Szepesvári, András Lörincz: Inverse Dynamics Controllers for Robust Control: Consequences for Neurocontrollers. ICANN 1996: 791-796
3		Michael L. Littman, Csaba Szepesvári: A Generalized Reinforcement-Learning Model: Convergence and Applications. ICML 1996: 310-318
2	EE	Tibor Fomin, Tamás Rozgonyi, Csaba Szepesvári, András Lörincz: Self-Organizing Multi-Resolution Grid for Motion Planning and Control. Int. J. Neural Syst. 7(6): 757- (1996)
1	EE	Csaba Szepesvári, András Lörincz: Approximate geometry representations and sensory fusion. Neurocomputing 12(2-3): 267-287 (1996)

Coauthor Index

1	Cristina Acatrinei	[13]
2	András Antos	[31] [33] [39] [48]
3	Jean-Yves Audibert	[36] [38] [45] [49]
4	Peter Auer	[37]
5	György Balogh	[18]
6	Endre Barta	[13]
7	Gábor Bartók	[47]
8	István Bíró	[35]
9	Michael H. Bowling	[40]
10	Sébastien Bubeck	[43]
11	Vadim Bulitko	[41]
12	Szabolcs Cimmer	[5]
13	Ervin Dobler	[18]
14	Amir Massoud Farahmand	[36] [42] [46]
15	Tibor Fomin	[2]
16	Zoltán Gábor	[12]
17	Alborz Geramifard	[40]
18	Mohammad Ghavamzadeh	[42] [46]
19	Russell Greiner	[41]
20	Tamás Gröbler	[18]
21	Varun Grover	[48]
22	András György	[34]
23	György Hévízi	[19]
24	Alejandro Isaza	[41]
25	Tommi Jaakkola	[16]
26	Zsolt Kalmár	[7] [9] [10] [12] [14] [17]
27	Levente Kocsis	[28] [30] [32] [34]
28	András Kocsor	[22] [24]
29	Kornél Kovács	[22] [24]
30	Michael L. Littman	[3] [15] [16]
31	András Lörincz	[1] [2] [4] [5] [7] [9] [10] [14] [17] [19]
32	Hamid Reza Maei	[44]
33	Shie Mannor	[42] [46]
34	Zsolt Marczell	[14]
35	Volodymyr Mnih	[45]
36	Rémi Munos	[26] [31] [33] [38] [39] [43] [49]
37	János Murvai	[13]
38	Ronald Ortner	[37]
39	Sándor Pongor	[13]
40	Tamás Rozgonyi	[2]
41	Satinder P. Singh	[16]
42	William D. Smart	[21]
43	Béla Smodics	[18]
44	Gilles Stoltz	[43]
45	Richard S. Sutton	[40] [44]
46	Ivett Szabó	[34]
47	Zoltán Szamonek	[27] [35]
48	Péter Torma	[23] [29]
49	Kristian Vlahovicek	[13]
50	Mark H. M. Winands	[32]
51	Sandra Zilles	[47]

Colors in the list of coauthors