Nathaniel Korda

12 papers A* 2A 1B 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
Concentration bounds for temporal difference learning with linear function approximation: the case of batch data and uniform sampling.
Mach. Learn.
Prashanth L. A., Nathaniel Korda, Rémi Munos
2015 A* conf
Fast Gradient Descent for Drifting Least Squares Regression, with Application to Bandits.
AAAI
Nathaniel Korda, Prashanth L. A., Rémi Munos
2015 A* conf
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence.
ICML
Nathaniel Korda, Prashanth L. A.
2014 — conf
Fast LSTD Using Stochastic Approximation: Finite Time Analysis and Application to Traffic Control.
ECML/PKDD (2)
Prashanth L. A., Nathaniel Korda, Rémi Munos
2014 J jnl
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence.
CoRR
Nathaniel Korda, Prashanth L. A.
2013 J jnl
Analysis of stochastic approximation for efficient least squares regression and LSTD.
CoRR
Prashanth L. A., Nathaniel Korda, Rémi Munos
2013 A conf
Finite-Time Analysis of Kernelised Contextual Bandits.
UAI
Michal Valko, Nathaniel Korda, Rémi Munos, Ilias N. Flaounas, Nello Cristianini
2013 J jnl
Finite-Time Analysis of Kernelised Contextual Bandits.
CoRR
Michal Valko, Nathaniel Korda, Rémi Munos, Ilias N. Flaounas, Nello Cristianini
2013 J jnl
Online gradient descent for least squares regression: Non-asymptotic bounds and application to bandits.
CoRR
Nathaniel Korda, Prashanth L. A., Rémi Munos
2013 — conf
Thompson Sampling for 1-Dimensional Exponential Family Bandits.
NIPS
Nathaniel Korda, Emilie Kaufmann, Rémi Munos
2012 B conf
Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis.
ALT
Emilie Kaufmann, Nathaniel Korda, Rémi Munos
2012 J jnl
Thompson Sampling: An Optimal Finite Time Analysis
CoRR
Emilie Kaufmann, Nathaniel Korda, Rémi Munos