Csaba Szepesvári Vis

*	2009
54	EE	Barnabás Póczos, Yasin Abbasi-Yadkori, Csaba Szepesvári, Russell Greiner, Nathan R. Sturtevant: Learning when to stop thinking and do something! ICML 2009: 104
53	EE	Richard S. Sutton, Hamid Reza Maei, Doina Precup, Shalabh Bhatnagar, David Silver, Csaba Szepesvári, Eric Wiewiora: Fast gradient-descent methods for temporal-difference learning with linear function approximation. ICML 2009: 125
52	EE	Jean-Yves Audibert, Peter Auer, Alessandro Lazaric, Rémi Munos, Daniil Ryabko, Csaba Szepesvári: Workshop summary: On-line learning with limited feedback. ICML 2009: 168
51	EE	Alireza Farhangfar, Russell Greiner, Csaba Szepesvári: Learning to segment from a few well-selected training images. ICML 2009: 39
50	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
49	EE	András Antos, Varun Grover, Csaba Szepesvári: Active Learning in Multi-armed Bandits. ALT 2008: 287-302
48	EE	Gábor Bartók, Csaba Szepesvári, Sandra Zilles: Active Learning of Group-Structured Environments. ALT 2008: 329-343
47	EE	Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor: Regularized Fitted Q-Iteration: Application to Planning. EWRL 2008: 55-68
46	EE	Volodymyr Mnih, Csaba Szepesvári, Jean-Yves Audibert: Empirical Bernstein stopping. ICML 2008: 672-679
45	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
44	EE	Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvári: Online Optimization in X-Armed Bandits. NIPS 2008: 201-208
43	EE	Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor: Regularized Policy Iteration. NIPS 2008: 441-448
42	EE	Alejandro Isaza, Csaba Szepesvári, Vadim Bulitko, Russell Greiner: Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction. UAI 2008: 306-314
41	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
40	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
39	EE	Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári: Tuning Bandit Algorithms in Stochastic Environments. ALT 2007: 150-165
38	EE	Peter Auer, Ronald Ortner, Csaba Szepesvári: Improved Rates for the Stochastic Continuum-Armed Bandit Problem. COLT 2007: 454-468
37	EE	Amir Massoud Farahmand, Csaba Szepesvári, Jean-Yves Audibert: Manifold-adaptive dimension estimation. ICML 2007: 265-272
36	EE	István Bíró, Zoltán Szamonek, Csaba Szepesvári: Sequence Prediction Exploiting Similary Information. IJCAI 2007: 1576-1581
35	EE	András György, Levente Kocsis, Ivett Szabó, Csaba Szepesvári: Continuous Time Associative Bandit Problems. IJCAI 2007: 830-835
34	EE	András Antos, Rémi Munos, Csaba Szepesvári: Fitted Q-iteration in continuous action-space MDPs. NIPS 2007
	2006
33	EE	Levente Kocsis, Csaba Szepesvári, Mark H. M. Winands: RSPSA: Enhanced Parameter Optimization in Games. ACG 2006: 39-56
32	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
31	EE	Levente Kocsis, Csaba Szepesvári: Bandit Based Monte-Carlo Planning. ECML 2006: 282-293
30	EE	Péter Torma, Csaba Szepesvári: Local Importance Sampling: A Novel Technique to Enhance Particle Filtering. Journal of Multimedia 1(1): 32-43 (2006)
29	EE	Levente Kocsis, Csaba Szepesvári: Universal parameter optimisation in games based on SPSA. Machine Learning 63(3): 249-286 (2006)
	2005
28	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
27	EE	Csaba Szepesvári, Rémi Munos: Finite time bounds for sampling based fitted value iteration. ICML 2005: 880-887
	2004
26		Csaba Szepesvári: Shortest Path Discovery Problems: A Framework, Algorithms and Experimental Results. AAAI 2004: 550-555
25		Csaba Szepesvári, András Kocsor, Kornél Kovács: Kernel Machine Based Feature Extraction Algorithms for Regression Problems. ECAI 2004: 1091-1092
24	EE	Péter Torma, Csaba Szepesvári: Enhancing Particle Filters Using Local Likelihood Sampling. ECCV (1) 2004: 16-27
23	EE	András Kocsor, Kornél Kovács, Csaba Szepesvári: Margin Maximizing Discriminant Analysis. ECML 2004: 227-238
22	EE	Csaba Szepesvári, William D. Smart: Interpolation-based Q-learning. ICML 2004
	2001
21	EE	Csaba Szepesvári: Efficient approximate planning in continuous space Markovian Decision Problems. AI Commun. 14(3): 163-176 (2001)
20	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
19	EE	György Balogh, Ervin Dobler, Tamás Gröbler, Béla Smodics, Csaba Szepesvári: FlexVoice: A Parametric Approach to High-Quality Speech Synthesis. TSD 2000: 189-194
18	EE	Zsolt Kalmár, Csaba Szepesvári, András Lörincz: Modular Reinforcement Learning: A Case Study in a Robot Domain. Acta Cybern. 14(3): 507-522 (2000)
17		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
16		Csaba Szepesvári, Michael L. Littman: A Unified Analysis of Value-Function-Based Reinforcement Learning Algorithms. Neural Computation 11(8): 2017-2060 (1999)
15	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)
14		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
13		Zoltán Gábor, Zsolt Kalmár, Csaba Szepesvári: Multi-criteria Reinforcement Learning. ICML 1998: 197-205
12	EE	Csaba Szepesvári: Non-Markovian Policies in Sequential Decision Problems. Acta Cybern. 13(3): 305-318 (1998)
11		Zsolt Kalmár, Csaba Szepesvári, András Lörincz: Module-Based Reinforcement Learning: Experiments with a Real Robot. Auton. Robots 5(3-4): 273-295 (1998)
10		Zsolt Kalmár, Csaba Szepesvári, András Lörincz: Module-Based Reinforcement Learning: Experiments with a Real Robot. Machine Learning 31(1-3): 55-85 (1998)
	1997
9	EE	Csaba Szepesvári: Learning and Exploitation Do Not Conflict Under Minimax Optimality. ECML 1997: 242-249
8	EE	Zsolt Kalmár, Csaba Szepesvári, András Lörincz: Module Based Reinforcement Learning: An Application to a Real Robot. EWLR 1997: 29-45
7		Csaba Szepesvári: The Asymptotic Convergence-Rate of Q-learning. NIPS 1997
6	EE	Csaba Szepesvári, Szabolcs Cimmer, András Lörincz: Neurocontroller using dynamic state feedback for compensatory control. Neural Networks 10(9): 1691-1708 (1997)
	1996
5		Csaba Szepesvári, András Lörincz: Inverse Dynamics Controllers for Robust Control: Consequences for Neurocontrollers. ICANN 1996: 791-796
4		Michael L. Littman, Csaba Szepesvári: A Generalized Reinforcement-Learning Model: Convergence and Applications. ICML 1996: 310-318
3	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)
2	EE	Csaba Szepesvári, András Lörincz: Approximate geometry representations and sensory fusion. Neurocomputing 12(2-3): 267-287 (1996)
	1994
1	EE	Csaba Szepesvári, László Balázs, András Lörincz: Topology Learning Solved by Extended Objects: A Neural Network Model. Neural Computation 6(3): 441-458 (1994)

Coauthor Index

1	Yasin Abbasi-Yadkori	[54]
2	Cristina Acatrinei	[14]
3	András Antos	[32] [34] [40] [49]
4	Jean-Yves Audibert	[37] [39] [46] [50] [52]
5	Peter Auer	[38] [52]
6	László Balázs	[1]
7	György Balogh	[19]
8	Endre Barta	[14]
9	Gábor Bartók	[48]
10	Shalabh Bhatnagar	[53]
11	István Bíró	[36]
12	Michael H. Bowling	[41]
13	Sébastien Bubeck	[44]
14	Vadim Bulitko	[42]
15	Szabolcs Cimmer	[6]
16	Ervin Dobler	[19]
17	Amir Massoud Farahmand	[37] [43] [47]
18	Alireza Farhangfar	[51]
19	Tibor Fomin	[3]
20	Zoltán Gábor	[13]
21	Alborz Geramifard	[41]
22	Mohammad Ghavamzadeh	[43] [47]
23	Russell Greiner	[42] [51] [54]
24	Tamás Gröbler	[19]
25	Varun Grover	[49]
26	András György	[35]
27	György Hévízi	[20]
28	Alejandro Isaza	[42]
29	Tommi Jaakkola	[17]
30	Zsolt Kalmár	[8] [10] [11] [13] [15] [18]
31	Levente Kocsis	[29] [31] [33] [35]
32	András Kocsor	[23] [25]
33	Kornél Kovács	[23] [25]
34	Alessandro Lazaric	[52]
35	Michael L. Littman	[4] [16] [17]
36	András Lörincz	[1] [2] [3] [5] [6] [8] [10] [11] [15] [18] [20]
37	Hamid Reza Maei	[45] [53]
38	Shie Mannor	[43] [47]
39	Zsolt Marczell	[15]
40	Volodymyr Mnih	[46]
41	Rémi Munos	[27] [32] [34] [39] [40] [44] [50] [52]
42	János Murvai	[14]
43	Ronald Ortner	[38]
44	Barnabás Póczos	[54]
45	Sándor Pongor	[14]
46	Doina Precup	[53]
47	Tamás Rozgonyi	[3]
48	Daniil Ryabko	[52]
49	David Silver	[53]
50	Satinder P. Singh	[17]
51	William D. Smart	[22]
52	Béla Smodics	[19]
53	Gilles Stoltz	[44]
54	Nathan R. Sturtevant	[54]
55	Richard S. Sutton	[41] [45] [53]
56	Ivett Szabó	[35]
57	Zoltán Szamonek	[28] [36]
58	Péter Torma	[24] [30]
59	Kristian Vlahovicek	[14]
60	Eric Wiewiora	[53]
61	Mark H. M. Winands	[33]
62	Sandra Zilles	[48]

Colors in the list of coauthors