PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Rémi Munos

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Number of EPrints submitted by this user: 19

Finite time analysis of stratified sampling for monte carlo
Alexandra Carpentier and Rémi Munos
NIPS 2011 2011.

Sparse recovery with brownian sensing
Alexandra Carpentier, Odalric Maillard and Rémi Munos
NIPS 2011 2011.

Optimistic optimization of deterministic functions without the knowledge of its smoothness
Rémi Munos
NIPS 2011 2011.

Selecting the state-representation in reinforcement learning
Odalric Maillard, Rémi Munos and Daniil Ryabko
NIPS 2011 2011.

Finite-time analysis of multi-armed bandits problems with Kullback-Leibler divergences
Odalric Maillard, Rémi Munos and Gilles Stoltz
COLT 2011 2011.

Finite-sample analysis of Lasso-TD
Mohammad Ghavamzadeh, Alessandro Lazaric, Rémi Munos and Matthew Hoffman
ICML 2011 2011.

Upper confidence bounds algorithms for active learning in multi-armed bandits
Alexandra Carpentier, Mohammad Ghavamzadeh, Alessandro Lazaric, Rémi Munos and Peter Auer
ALT 2011 2011.

Towards the best history-dependent strategy
Odalric Maillard and Rémi Munos
AISTATS 2011 2011.

Optimistic planning for sparsely stochastic systems
Lucian Busoniu, Rémi Munos, Bart De Schutter and Robert Babuska
ADPRL 2011 2011.

Pure exploration in finitely-armed and continuous-armed bandits
Sébastien Bubeck, Rémi Munos and Gilles Stoltz
Theoretical Computer Science 2011.

X-armed bandits
Sébastien Bubeck, Rémi Munos, Gilles Stoltz and Csaba Szepesvari
Journal of Machine Learning Research 2011.

Minimax number of strata for online stratified sampling given noisy samples
Alexandra Carpentier and Rémi Munos
In: International Conference on Algorithmic Learning Theory(2012).

Optimistic Planning for Belief-Augmented Markov Decision Processes
Raphael Fonteneau, Lucian Busoniu and Rémi Munos
In: IEEE SSCI Approximate Dynamic Programming and Reinforcement Learning(2013).

Thompson sampling: an asymptotically optimal finite time analysis
Emilie Kaufmann, Nathaniel Korda and Rémi Munos
In: International Conference on Algorithmic Learning Theory(2012).

Stochastic Simultaneous Optimistic Optimization
Michal Valko, Alexandra Carpentier and Rémi Munos
In: International Conference on Machine Learning(2013).

Toward Optimal Stratification for Stratified Monte-Carlo Integration
Alexandra Carpentier and Rémi Munos
In: ICML 2013(2013).

Linear regression with random projections
Odalric-Ambrym Maillard and Rémi Munos
Journal of Machine Learning Research 2012.

Minimax PAC-bounds on the sample complexity of reinforcement learning with a generative model
Mohammad Gheshlaghi Azar, Rémi Munos and Hilbert Kappen
Machine Learning Journal 2012.

Adaptive stratified sampling for monte-carlo integration of differentiable functions
Alexandra Carpentier and Rémi Munos
In: NIPS 2012(2012).