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Introduction to Multi-Armed Bandits

Introduction to Multi-Armed Bandits

15 April 2019
Aleksandrs Slivkins
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Papers citing "Introduction to Multi-Armed Bandits"

14 / 164 papers shown
Title
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for
  Contextual Bandits under Realizability
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability
D. Simchi-Levi
Yunzong Xu
OffRL
47
107
0
28 Mar 2020
Online Residential Demand Response via Contextual Multi-Armed Bandits
Online Residential Demand Response via Contextual Multi-Armed Bandits
Xin Chen
Yutong Nie
Na Li
11
30
0
07 Mar 2020
Effective Diversity in Population Based Reinforcement Learning
Effective Diversity in Population Based Reinforcement Learning
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
22
158
0
03 Feb 2020
Learning Strategy-Aware Linear Classifiers
Learning Strategy-Aware Linear Classifiers
Yiling Chen
Yang Liu
Chara Podimata
19
9
0
10 Nov 2019
Regret Bounds for Batched Bandits
Regret Bounds for Batched Bandits
Hossein Esfandiari
Amin Karbasi
Abbas Mehrabian
Vahab Mirrokni
33
61
0
11 Oct 2019
Exploration by Optimisation in Partial Monitoring
Exploration by Optimisation in Partial Monitoring
Tor Lattimore
Csaba Szepesvári
33
38
0
12 Jul 2019
Phase Transitions in Bandits with Switching Constraints
Phase Transitions in Bandits with Switching Constraints
D. Simchi-Levi
Yunzong Xu
11
9
0
26 May 2019
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and
  Adapting
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting
A. Krishnamurthy
John Langford
Aleksandrs Slivkins
Chicheng Zhang
OffRL
26
66
0
05 Feb 2019
Inventory Balancing with Online Learning
Inventory Balancing with Online Learning
Wang Chi Cheung
Will Ma
D. Simchi-Levi
Xinshang Wang
16
16
0
11 Oct 2018
Multiplayer bandits without observing collision information
Multiplayer bandits without observing collision information
Gabor Lugosi
Abbas Mehrabian
8
34
0
25 Aug 2018
Stochastic bandits robust to adversarial corruptions
Stochastic bandits robust to adversarial corruptions
Thodoris Lykouris
Vahab Mirrokni
R. Leme
AAML
19
202
0
25 Mar 2018
Kernel-based methods for bandit convex optimization
Kernel-based methods for bandit convex optimization
Sébastien Bubeck
Ronen Eldan
Y. Lee
84
164
0
11 Jul 2016
Matroid Bandits: Fast Combinatorial Optimization with Learning
Matroid Bandits: Fast Combinatorial Optimization with Learning
Branislav Kveton
Zheng Wen
Azin Ashkan
Hoda Eydgahi
Brian Eriksson
46
119
0
20 Mar 2014
Resourceful Contextual Bandits
Resourceful Contextual Bandits
Ashwinkumar Badanidiyuru
John Langford
Aleksandrs Slivkins
40
117
0
27 Feb 2014
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