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	1 2 3 4 5 6 7 8 9 10	Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 résultats par page 50 résultats par page 100 résultats par page Pour les 630 documents Exporter XML-TEI BibTeX EndNote CSV PDF Export avancé... Syndication RSS ATOM
	inria-00150207v1 Communication dans un congrès Pierre-Arnaud Coquelin, Rémi Munos. Bandit Algorithms for Tree Search Uncertainty in Artificial Intelligence, 2007, Vancouver, Canada. 2007
	hal-00750326v1 Communication dans un congrès Rémi Coulom. CLOP: Confident Local Optimization for Noisy Black-Box Parameter Tuning van den Herik, H. Jaap and Plaat, Aske. Advances in Computer Games - 13th International Conference, Nov 2011, Tilburg, Netherlands. Springer, 7168, pp.146-157, 2012, Lecture Notes in Computer Science; Advances in Computer Games. <http://link.springer.com/chapter/10.1007%2F978-3-642-31866-5_13>. <10.1007/978-3-642-31866-5_13>
	hal-00981575v2 Communication dans un congrès Tomáš Kocák, Michal Valko, Rémi Munos, Shipra Agrawal. Spectral Thompson Sampling AAAI Conference on Artificial Intelligence, Jul 2014, Québec City, Canada
	hal-00750298v1 Rapport Amir Sani, Alessandro Lazaric, Rémi Munos. Risk-Aversion in Multi-armed Bandits [Research Report] 2012
	hal-00654324v1 Chapitre d'ouvrage Jean-Yves Audibert, Sébastien Bubeck, Rémi Munos. Bandit view on noisy optimization Optimization for Machine Learning, MIT Press, pp.431-454, 2011, 978-0-262-01646-9
	hal-00654404v1 Communication dans un congrès Jean-Yves Audibert, Sébastien Bubeck. Best Arm Identification in Multi-Armed Bandits COLT - 23th Conference on Learning Theory - 2010, Jun 2010, Haifa, Israel. 13 p., 2010
	hal-01057562v1 Communication dans un congrès Ronald Ortner, Odalric-Ambrym Maillard, Daniil Ryabko. Selecting Near-Optimal Approximate State Representations in Reinforcement Learning International Conference on Algorithmic Learning Theory (ALT), Oct 2014, Bled, Slovenia. Springer, 8776, pp.140-154, 2014, LNCS
	hal-01104739v1 Communication dans un congrès Bilal Piot, Olivier Pietquin, Matthieu Geist. Predicting when to laugh with structured classification InterSpeech 2014, Sep 2014, Singapore, Singapore. Proceedings of the Annual Conference of the International Speech Communication Association, pp.1786-1790, 2014, <http://www.isca-speech.org/archive/archive_papers/interspeech_2014/i14_1786.pdf>
	hal-01104789v1 Communication dans un congrès Bilal Piot, Matthieu Geist, Olivier Pietquin. Méthode de minimisation du résidu de Bellman boostée qui tient compte des démonstrations expertes. 9èmes Journées Francophones de Planification, Décision et Apprentissage (JFPDA'14), May 2014, Liège, Belgique. 2014
	inria-00475214v1 Communication dans un congrès Alessandro Lazaric, Mohammad Ghavamzadeh. Bayesian Multi-Task Reinforcement Learning ICML - 27th International Conference on Machine Learning, Jun 2010, Haifa, Israel. Omnipress, pp.599-606, 2010
	hal-00823230v1 Communication dans un congrès Phuong Nguyen, Odalric-Ambrym Maillard, Daniil Ryabko, Ronald Ortner. Competing with an Infinite Set of Models in Reinforcement Learning AISTATS, 2013, Arizona, United States. 31, pp.463-471, 2013, JMLR W&CP
	inria-00574999v1 Rapport Odalric-Ambrym Maillard, Rémi Munos. Adaptive Bandits: Towards the best history-dependent strategy [Technical Report] 2011, pp.14
	inria-00117266v3 Rapport Sylvain Gelly, Yizao Wang, Rémi Munos, Olivier Teytaud. Modiﬁcation of UCT with Patterns in Monte-Carlo Go [Research Report] RR-6062, INRIA. 2006
	hal-00923685v1 Communication dans un congrès Alexandra Carpentier, Rémi Munos. Toward optimal stratification for stratified monte-carlo integration International Conference on Machine Learning, 2013, United States. 2013
	hal-00771128v1 Communication dans un congrès Daniil Ryabko. ASYMPTOTIC STATISTICAL ANALYSIS OF STATIONARY ERGODIC TIME SERIES WITMSE 2012, Aug 2012, Amsterdam, Netherlands. 2012
	hal-00923683v1 Communication dans un congrès Nathaniel Korda, Emilie Kaufmann, Rémi Munos. Thompson sampling for one-dimensional exponential family bandits Advances in Neural Information Processing Systems, 2013, United States. 2013
	hal-00823233v1 Communication dans un congrès Daniil Ryabko. Time-series information and learning ISIT - International Symposium on Information Theory, 2013, Istanbul, Turkey. pp.1392-1395, 2013
	hal-00923681v1 Communication dans un congrès Gunnar Kedenburg, Raphael Fonteneau, Remi Munos. Aggregating optimistic planning trees for solving markov decision processes Advances in Neural Information Processing Systems, 2013, United States. pp.2382-2390, 2013
	hal-00772046v1 Article dans une revue Alessandro Lazaric, Rémi Munos. Learning with stochastic inputs and adversarial outputs Journal of Computer and System Sciences (JCSS), Elsevier, 2012, 78 (5), pp.1516-1537. <http://www.sciencedirect.com/science/article/pii/S002200001200027X>
	inria-00177155v1 Communication dans un congrès Rémi Coulom. Monte-Carlo Tree Search in Crazy Stone Takeshi Ito and Akihiro Kishimoto. 12th Game Programming Workshop, Nov 2007, Hakone, Japan. 2007
	hal-01077986v1 Autre publication Frédéric Guillou, Romaric Gaudel, Jérémie Mary, Philippe Preux. User Engagement as Evaluation: a Ranking or a Regression Problem? 1. Introduction 2. Recsys Challenge 2014: Data and Protocol 2.1 Data Characteristics and St.. 2014, <10.1145/2668067.2668073>
	hal-00826051v1 Chapitre d'ouvrage Delepoulle Samuel, François Rouselle, Renaud Christophe, Philippe Preux. A comparison of two machine learning approaches for Photometric Solids Compression Plemenos, Dimitri; Miaoulis, Georgios. Intelligent Computer Graphics, 321, Springer, pp.145-164, 2010, Studies in Computational Intelligence
	hal-00826055v1 Communication dans un congrès Sertan Girgin, Philippe Preux. Basis Expansion in Natural Actor Critic Methods Girgin, Loth, Munos, Preux. European Workshop on Reinforcement Learning, Jun 2008, Villeneuve d'Ascq, France. Springer, 5323, pp.110-123, 2008, LNAI; Recent Advances in Reinforcement Learning
	hal-00826053v1 Chapitre d'ouvrage Delepoulle Samuel, Renaud Christophe, Philippe Preux. Light Source Storage and Interpolation for Global Illumination: a neural solution Dimitri Plemenos, Georgios Miaoulis. Intelligent Computer Graphics, 240, Springer, pp.87-104, 2009, Studies in Computational Intelligence
	hal-00826054v1 Communication dans un congrès Sertan Girgin, Philippe Preux. Basis Function Construction in Reinforcement Learning using Cascade-Correlation Learning Architecture International Conference on Machine Learning and Applications, Dec 2008, San Diego, United States. IEEE Press, pp.75-82, 2008, Proceedings of the International Conference on Machine Learning and Applications (ICML-A)
	hal-00826056v1 Communication dans un congrès Sertan Girgin, Philippe Preux. Feature discovery in reinforcement learning using genetic programming 11th European Conference on Genetic Programming (EUROGP), 2008, Naples, Italy. Springer, 4971, pp.218-229, 2008, LNCS. <http://link.springer.com/chapter/10.1007%2F978-3-540-78671-9_19>
	hal-00772626v1 Chapitre d'ouvrage Alessandro Lazaric. Transfer in Reinforcement Learning: a Framework and a Survey Marco Wiering, Martijn van Otterlo. Reinforcement Learning - State of the art, 12, Springer, pp.143-173, 2012, <10.1007/978-3-642-27645-3_5>
	hal-00772615v1 Communication dans un congrès Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric. Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NIPS - Twenty-Sixth Annual Conference on Neural Information Processing Systems, Dec 2012, Lake Tahoe, United States. 2012
	inria-00329797v1 Communication dans un congrès Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvari. Online Optimization in X-Armed Bandits Twenty-Second Annual Conference on Neural Information Processing Systems, Dec 2008, Vancouver, Canada. 2008
	inria-00124833v1 Communication dans un congrès Andras Antos, Csaba Szepesvari, Rémi Munos. Value-Iteration Based Fitted Policy Iteration: Learning with a Single Trajectory IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, 2007, Hawai, United States. pp.2007, 2007
	1 2 3 4 5 6 7 8 9 10	Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 résultats par page 50 résultats par page 100 résultats par page Pour les 630 documents Exporter XML-TEI BibTeX EndNote CSV PDF Export avancé... Syndication RSS ATOM

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