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Experimental Design for Regret Minimization in Linear Bandits

Experimental Design for Regret Minimization in Linear Bandits

1 November 2020
Andrew Wagenmaker
Julian Katz-Samuels
Kevin G. Jamieson
ArXivPDFHTML

Papers citing "Experimental Design for Regret Minimization in Linear Bandits"

4 / 4 papers shown
Title
Spectral learning of Bernoulli linear dynamical systems models
Spectral learning of Bernoulli linear dynamical systems models
Iris R. Stone
Yotam Sagiv
Il Memming Park
Jonathan W. Pillow
40
1
0
03 Mar 2023
An Experimental Design Approach for Regret Minimization in Logistic
  Bandits
An Experimental Design Approach for Regret Minimization in Logistic Bandits
Blake Mason
Kwang-Sung Jun
Lalit P. Jain
29
10
0
04 Feb 2022
Dealing With Misspecification In Fixed-Confidence Linear Top-m
  Identification
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification
Clémence Réda
Andrea Tirinzoni
Rémy Degenne
35
9
0
02 Nov 2021
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can
  be Exponentially Harder than Online RL
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL
Andrea Zanette
OffRL
31
71
0
14 Dec 2020
1