NIPS Proceedings
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Books
Rémi Munos
20 Papers
Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions
(2012)
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button
(2012)
Risk-Aversion in Multi-armed Bandits
(2012)
Finite Time Analysis of Stratified Sampling for Monte Carlo
(2011)
Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness
(2011)
Selecting the State-Representation in Reinforcement Learning
(2011)
Sparse Recovery with Brownian Sensing
(2011)
Speedy Q-Learning
(2011)
Error Propagation for Approximate Policy and Value Iteration
(2010)
LSTD with Random Projections
(2010)
Scrambled Objects for Least-Squares Regression
(2010)
Compressed Least-Squares Regression
(2009)
Sensitivity analysis in HMMs with application to likelihood maximization
(2009)
Algorithms for Infinitely Many-Armed Bandits
(2008)
Online Optimization in X-Armed Bandits
(2008)
Particle Filter-based Policy Gradient in POMDPs
(2008)
Fitted Q-iteration in continuous action-space MDPs
(2007)
Efficient Resources Allocation for Markov Decision Processes
(2001)
Barycentric Interpolators for Continuous Space and Time Reinforcement Learning
(1998)
Reinforcement Learning for Continuous Stochastic Control Problems
(1997)