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2002.00558
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The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity
3 February 2020
Mark Sellke
Aleksandrs Slivkins
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Papers citing
"The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity"
9 / 9 papers shown
Title
Bandit Social Learning: Exploration under Myopic Behavior
Kiarash Banihashem
Mohammadtaghi Hajiaghayi
Suho Shin
Aleksandrs Slivkins
179
4
0
15 Feb 2023
Introduction to Multi-Armed Bandits
Aleksandrs Slivkins
258
999
0
15 Apr 2019
Bayesian Exploration: Incentivizing Exploration in Bayesian Games
Yishay Mansour
Aleksandrs Slivkins
Vasilis Syrgkanis
Zhiwei Steven Wu
35
104
0
24 Feb 2016
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems
Chien-Ju Ho
Aleksandrs Slivkins
Jennifer Wortman Vaughan
81
147
0
12 May 2014
Prior-free and prior-dependent regret bounds for Thompson Sampling
Sébastien Bubeck
Che-Yu Liu
71
94
0
21 Apr 2013
Learning to Optimize Via Posterior Sampling
Daniel Russo
Benjamin Van Roy
137
699
0
11 Jan 2013
Further Optimal Regret Bounds for Thompson Sampling
Shipra Agrawal
Navin Goyal
92
443
0
15 Sep 2012
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis
E. Kaufmann
N. Korda
Rémi Munos
102
585
0
18 May 2012
Characterizing Truthful Multi-Armed Bandit Mechanisms
Moshe Babaioff
Yogeshwer Sharma
Aleksandrs Slivkins
93
161
0
12 Dec 2008
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