Adaptive KL-UCB based Bandit Algorithms for Markovian and i.i.d.
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Adaptive KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings

14 September 2020

Member Ieee Arghyadip Roy

Fellow Ieee Sanjay Shakkottai

F. I. R. Srikant

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Papers citing "Adaptive KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings"

5 / 5 papers shown

Title
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes Ronan Fruit Matteo Pirotta A. Lazaric 74 62 0 06 Jul 2018
Kullback-Leibler upper confidence bounds for optimal sequential allocation Olivier Cappé Aurélien Garivier Odalric-Ambrym Maillard Rémi Munos Gilles Stoltz 134 395 0 03 Oct 2012
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond Aurélien Garivier Olivier Cappé 201 615 0 12 Feb 2011
Learning in A Changing World: Restless Multi-Armed Bandit with Unknown Dynamics Haoyang Liu Keqin Liu Qing Zhao 140 159 0 22 Nov 2010
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach Cem Tekin M. Liu 143 106 0 01 Oct 2010

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