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An Information-Theoretic Analysis for Thompson Sampling with Many Actions
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An Information-Theoretic Analysis for Thompson Sampling with Many Actions

Shi Dong
Benjamin Van Roy
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Papers citing "An Information-Theoretic Analysis for Thompson Sampling with Many Actions"

6 / 6 papers shown
Title
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
Ruitao Chen
Liwei Wang
113
1
0
18 May 2024
Safe Linear Thompson Sampling with Side Information
Safe Linear Thompson Sampling with Side Information
Ahmadreza Moradipari
Sanae Amani
M. Alizadeh
Christos Thrampoulidis
139
44
0
06 Nov 2019
Provably Optimal Algorithms for Generalized Linear Contextual Bandits
Provably Optimal Algorithms for Generalized Linear Contextual Bandits
Lihong Li
Yu Lu
Dengyong Zhou
153
94
0
28 Feb 2017
Learning to Optimize via Information-Directed Sampling
Learning to Optimize via Information-Directed Sampling
Daniel Russo
Benjamin Van Roy
163
284
0
21 Mar 2014
An Information-Theoretic Analysis of Thompson Sampling
An Information-Theoretic Analysis of Thompson Sampling
Daniel Russo
Benjamin Van Roy
171
426
0
21 Mar 2014
Learning to Optimize Via Posterior Sampling
Learning to Optimize Via Posterior Sampling
Daniel Russo
Benjamin Van Roy
200
703
0
11 Jan 2013

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