Rémi Munos

	2012
66		Emilie Kaufmann, Nathaniel Korda, Rémi Munos: Thompson Sampling: An Optimal Finite Time Analysis CoRR abs/1205.4217: (2012)
65		Lucian Busoniu, Rémi Munos: Optimistic planning for Markov decision processes. Journal of Machine Learning Research - Proceedings Track 22: 182-189 (2012)
64		Alexandra Carpentier, Rémi Munos: Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit. Journal of Machine Learning Research - Proceedings Track 22: 190-198 (2012)
	2011
63		Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer: Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits. ALT 2011: 189-203
62		Matthew W. Hoffman, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos: Regularized Least Squares Temporal Difference Learning with Nested ℓ2 and ℓ1 Penalization. EWRL 2011: 102-114
61		Mohammad Ghavamzadeh, Alessandro Lazaric, Rémi Munos, Matthew W. Hoffman: Finite-Sample Analysis of Lasso-TD. ICML 2011: 1177-1184
60		Alexandra Carpentier, Rémi Munos: Finite Time Analysis of Stratified Sampling for Monte Carlo. NIPS 2011: 1278-1286
59		Alexandra Carpentier, Odalric-Ambrym Maillard, Rémi Munos: Sparse Recovery with Brownian Sensing. NIPS 2011: 1782-1790
58		Mohammad Gheshlaghi Azar, Rémi Munos, Mohammad Ghavamzadeh, Hilbert J. Kappen: Speedy Q-Learning. NIPS 2011: 2411-2419
57		Odalric-Ambrym Maillard, Rémi Munos, Daniil Ryabko: Selecting the State-Representation in Reinforcement Learning. NIPS 2011: 2627-2635
56		Rémi Munos: Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness. NIPS 2011: 783-791
55		Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvári: X-Armed Bandits. Journal of Machine Learning Research 12: 1655-1695 (2011)
54		Odalric-Ambrym Maillard, Rémi Munos: Adaptive Bandits: Towards the best history-dependent strategy. Journal of Machine Learning Research - Proceedings Track 15: 570-578 (2011)
53		Odalric-Ambrym Maillard, Rémi Munos, Gilles Stoltz: A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences. Journal of Machine Learning Research - Proceedings Track 19: 497-514 (2011)
52		Sébastien Bubeck, Rémi Munos, Gilles Stoltz: Pure exploration in finitely-armed and continuous-armed bandits. Theor. Comput. Sci. 412(19): 1832-1852 (2011)
	2010
51		Jean-Yves Audibert, Sébastien Bubeck, Rémi Munos: Best Arm Identification in Multi-Armed Bandits. COLT 2010: 41-53
50		Sébastien Bubeck, Rémi Munos: Open Loop Optimistic Planning. COLT 2010: 477-489
49		Odalric-Ambrym Maillard, Rémi Munos: Online Learning in Adversarial Lipschitz Environments. ECML/PKDD (2) 2010: 305-320
48		Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos: Analysis of a Classification-based Policy Iteration Algorithm. ICML 2010: 607-614
47		Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos: Finite-Sample Analysis of LSTD. ICML 2010: 615-622
46		Odalric-Ambrym Maillard, Rémi Munos: Scrambled Objects for Least-Squares Regression. NIPS 2010: 1549-1557
45		Amir Massoud Farahmand, Rémi Munos, Csaba Szepesvári: Error Propagation for Approximate Policy and Value Iteration. NIPS 2010: 568-576
44		Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric-Ambrym Maillard, Rémi Munos: LSTD with Random Projections. NIPS 2010: 721-729
43		Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvári: X-Armed Bandits CoRR abs/1001.4475: (2010)
42		Odalric-Ambrym Maillard, Rémi Munos, Alessandro Lazaric, Mohammad Ghavamzadeh: Finite-sample Analysis of Bellman Residual Minimization. Journal of Machine Learning Research - Proceedings Track 13: 299-314 (2010)
	2009
41		Sébastien Bubeck, Rémi Munos, Gilles Stoltz: Pure Exploration in Multi-armed Bandits Problems. ALT 2009: 23-37
40		Alessandro Lazaric, Rémi Munos: Hybrid Stochastic-Adversarial On-line Learning. COLT 2009
39		Jean-Yves Audibert, Peter Auer, Alessandro Lazaric, Rémi Munos, Daniil Ryabko, Csaba Szepesvári: Workshop summary: On-line learning with limited feedback. ICML 2009: 168
38		Odalric-Ambrym Maillard, Rémi Munos: Compressed Least-Squares Regression. NIPS 2009: 1213-1221
37		Pierre-Arnaud Coquelin, Romain Deguest, Rémi Munos: Sensitivity analysis in HMMs with application to likelihood maximization. NIPS 2009: 387-395
36		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
35		Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko: Recent Advances in Reinforcement Learning, 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30 - July 3, 2008, Revised and Selected Papers Springer 2008
34		Raphaël Maîtrepierre, Jérémie Mary, Rémi Munos: Adaptive play in Texas Hold'em Poker. ECAI 2008: 458-462
33		Jean-François Hren, Rémi Munos: Optimistic Planning of Deterministic Systems. EWRL 2008: 151-164
32		Yizao Wang, Jean-Yves Audibert, Rémi Munos: Algorithms for Infinitely Many-Armed Bandits. NIPS 2008: 1729-1736
31		Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvári: Online Optimization in X-Armed Bandits. NIPS 2008: 201-208
30		Pierre-Arnaud Coquelin, Romain Deguest, Rémi Munos: Particle Filter-based Policy Gradient in POMDPs. NIPS 2008: 337-344
29		Sébastien Bubeck, Rémi Munos, Gilles Stoltz: Pure Exploration for Multi-Armed Bandit Problems CoRR abs/0802.2655: (2008)
28		Rémi Munos, Csaba Szepesvári: Finite-Time Bounds for Fitted Value Iteration. Journal of Machine Learning Research 9: 815-857 (2008)
27		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
26		Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári: Tuning Bandit Algorithms in Stochastic Environments. ALT 2007: 150-165
25		András Antos, Rémi Munos, Csaba Szepesvári: Fitted Q-iteration in continuous action-space MDPs. NIPS 2007
24		Pierre-Arnaud Coquelin, Rémi Munos: Bandit Algorithms for Tree Search. UAI 2007: 67-74
23		Pierre-Arnaud Coquelin, Rémi Munos: Bandit Algorithms for Tree Search CoRR abs/cs/0703062: (2007)
22		Rémi Munos: Analyse en norme Lp de l'algorithme d'itérations sur les valeurs avec approximations. Revue d'Intelligence Artificielle 21(1): 53-74 (2007)
21		Rémi Munos: Performance Bounds in Lp-norm for Approximate Value Iteration. SIAM J. Control and Optimization 46(2): 541-561 (2007)
	2006
20		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
19		Rémi Munos: Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation. Journal of Machine Learning Research 7: 413-427 (2006)
18		Rémi Munos: Policy Gradient in Continuous Time. Journal of Machine Learning Research 7: 771-791 (2006)
	2005
17		Rémi Munos: Error Bounds for Approximate Value Iteration. AAAI 2005: 1006-1011
16		Rémi Munos: Geometric Variance Reduction in Markov Chains. Application to Value Function and Gradient Estimation. AAAI 2005: 1012-1017
15		Rémi Munos: Policy gradient in continuous time. CAP 2005: 201-216
14		Csaba Szepesvári, Rémi Munos: Finite time bounds for sampling based fitted value iteration. ICML 2005: 880-887
13		Emmanuel Gobet, Rémi Munos: Sensitivity Analysis Using It[o-circumflex]--Malliavin Calculus and Martingales, and Application to Stochastic Optimal Control. SIAM J. Control and Optimization 43(5): 1676-1713 (2005)
	2003
12		Rémi Munos: Error Bounds for Approximate Policy Iteration. ICML 2003: 560-567
	2002
11		Rémi Munos, Andrew W. Moore: Variable Resolution Discretization in Optimal Control. Machine Learning 49(2-3): 291-323 (2002)
	2001
10		Rémi Munos: Efficient Resources Allocation for Markov Decision Processes. NIPS 2001: 1571-1578
	2000
9		Rémi Munos, Andrew W. Moore: Rates of Convergence for Variable Resolution Schemes in Optimal Control. ICML 2000: 647-654
8		Rémi Munos: A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions. Machine Learning 40(3): 265-299 (2000)
	1999
7		Rémi Munos, Andrew W. Moore: Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems. IJCAI 1999: 1348-1355
	1998
6		Rémi Munos: A General Convergence Method for Reinforcement Learning in the Continuous Case. ECML 1998: 394-405
5		Rémi Munos, Andrew W. Moore: Barycentric Interpolators for Continuous Space and Time Reinforcement Learning. NIPS 1998: 1024-1030
	1997
4		Rémi Munos: Finite-Element Methods with Local Triangulation Refinement for Continuous Reimforcement Learning Problems. ECML 1997: 170-182
3		Rémi Munos: A Convergent Reinforcement Learning Algorithm in the Continuous Case Based on a Finite Difference Method. IJCAI (2) 1997: 826-831
2		Rémi Munos, Paul Bourgine: Reinforcement Learning for Continuous Stochastic Control Problems. NIPS 1997
	1996
1		Rémi Munos: A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning. ICML 1996: 337-345

Coauthor Index

1	András Antos	[20] [25] [27]
2	Jean-Yves Audibert	[26] [32] [36] [39] [51]
3	Peter Auer	[39] [63]
4	Mohammad Gheshlaghi Azar	[58]
5	Paul Bourgine	[2]
6	Sébastien Bubeck	[29] [31] [41] [43] [50] [51] [52] [55]
7	Lucian Busoniu	[65]
8	Alexandra Carpentier	[59] [60] [63] [64]
9	Pierre-Arnaud Coquelin	[23] [24] [30] [37]
10	Romain Deguest	[30] [37]
11	Amir Massoud Farahmand	[45]
12	Mohammad Ghavamzadeh	[42] [44] [47] [48] [58] [61] [62] [63]
13	Sertan Girgin	[35]
14	Emmanuel Gobet	[13]
15	Matthew W. Hoffman	[61] [62]
16	Jean-François Hren	[33]
17	Hilbert J. Kappen (Bert Kappen)	[58]
18	Emilie Kaufmann	[66]
19	Nathaniel Korda	[66]
20	Alessandro Lazaric	[39] [40] [42] [44] [47] [48] [61] [62] [63]
21	Manuel Loth	[35]
22	Odalric-Ambrym Maillard	[38] [42] [44] [46] [49] [53] [54] [57] [59]
23	Raphaël Maîtrepierre	[34]
24	Jérémie Mary	[34]
25	Andrew W. Moore	[5] [7] [9] [11]
26	Philippe Preux	[35]
27	Daniil Ryabko	[35] [39] [57]
28	Gilles Stoltz	[29] [31] [41] [43] [52] [53] [55]
29	Csaba Szepesvári	[14] [20] [25] [26] [27] [28] [31] [36] [39] [43] [45] [55]
30	Yizao Wang	[32]

Colors in the list of coauthors

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