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Contextual Bandit Algorithms with Supervised Learning Guarantees

Contextual Bandit Algorithms with Supervised Learning Guarantees

22 February 2010
A. Beygelzimer
John Langford
Lihong Li
L. Reyzin
Robert Schapire
    OffRL
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Papers citing "Contextual Bandit Algorithms with Supervised Learning Guarantees"

7 / 7 papers shown
Title
A Model Selection Approach for Corruption Robust Reinforcement Learning
A Model Selection Approach for Corruption Robust Reinforcement Learning
Chen-Yu Wei
Christoph Dann
Julian Zimmert
99
44
0
31 Dec 2024
Second Order Bounds for Contextual Bandits with Function Approximation
Second Order Bounds for Contextual Bandits with Function Approximation
Aldo Pacchiano
152
4
0
24 Sep 2024
On Bits and Bandits: Quantifying the Regret-Information Trade-off
On Bits and Bandits: Quantifying the Regret-Information Trade-off
Itai Shufaro
Nadav Merlis
Nir Weinberger
Shie Mannor
101
0
0
26 May 2024
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
Masahiro Kato
Shinji Ito
83
0
0
05 Mar 2024
Corruption-Tolerant Gaussian Process Bandit Optimization
Corruption-Tolerant Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
56
52
0
04 Mar 2020
Taking a hint: How to leverage loss predictors in contextual bandits?
Taking a hint: How to leverage loss predictors in contextual bandits?
Chen-Yu Wei
Haipeng Luo
Alekh Agarwal
51
27
0
04 Mar 2020
A Contextual-Bandit Approach to Personalized News Article Recommendation
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li
Wei Chu
John Langford
Robert Schapire
267
2,935
0
28 Feb 2010
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