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Gamification of Pure Exploration for Linear Bandits

Gamification of Pure Exploration for Linear Bandits

2 July 2020
Rémy Degenne
Pierre Ménard
Xuedong Shang
Michal Valko
ArXiv (abs)PDFHTML

Papers citing "Gamification of Pure Exploration for Linear Bandits"

11 / 61 papers shown
Title
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit
  Feedback
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback
Marc Jourdan
Mojmír Mutný
Johannes Kirschner
Andreas Krause
105
32
0
21 Jan 2021
Combinatorial Pure Exploration with Full-bandit Feedback and Beyond:
  Solving Combinatorial Optimization under Uncertainty with Limited Observation
Combinatorial Pure Exploration with Full-bandit Feedback and Beyond: Solving Combinatorial Optimization under Uncertainty with Limited Observation
Yuko Kuroki
Junya Honda
Masashi Sugiyama
OffRL
70
1
0
31 Dec 2020
Chernoff Sampling for Active Testing and Extension to Active Regression
Chernoff Sampling for Active Testing and Extension to Active Regression
Subhojyoti Mukherjee
Ardhendu Shekhar Tripathy
Robert D. Nowak
50
14
0
15 Dec 2020
Best Arm Identification in Graphical Bilinear Bandits
Best Arm Identification in Graphical Bilinear Bandits
Geovani Rizk
Albert Thomas
Igor Colin
R. Laraki
Y. Chevaleyre
115
6
0
14 Dec 2020
Improved Confidence Bounds for the Linear Logistic Model and
  Applications to Linear Bandits
Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits
Kwang-Sung Jun
Lalit P. Jain
Blake Mason
Houssam Nassif
87
20
0
23 Nov 2020
An Asymptotically Optimal Primal-Dual Incremental Algorithm for
  Contextual Linear Bandits
An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits
Andrea Tirinzoni
Matteo Pirotta
Marcello Restelli
A. Lazaric
118
34
0
23 Oct 2020
Thresholded Lasso Bandit
Thresholded Lasso Bandit
Kaito Ariu
Kenshi Abe
Alexandre Proutiere
90
17
0
22 Oct 2020
Stochastic Bandits with Vector Losses: Minimizing $\ell^\infty$-Norm of
  Relative Losses
Stochastic Bandits with Vector Losses: Minimizing ℓ∞\ell^\inftyℓ∞-Norm of Relative Losses
Xuedong Shang
Han Shao
Jian Qian
49
0
0
15 Oct 2020
Optimal Best-arm Identification in Linear Bandits
Optimal Best-arm Identification in Linear Bandits
Yassir Jedra
Alexandre Proutiere
90
79
0
29 Jun 2020
Best Arm Identification for Cascading Bandits in the Fixed Confidence
  Setting
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
Zixin Zhong
Wang Chi Cheung
Vincent Y. F. Tan
75
8
0
23 Jan 2020
Towards Optimal and Efficient Best Arm Identification in Linear Bandits
Towards Optimal and Efficient Best Arm Identification in Linear Bandits
Mohammadi Zaki
Avinash Mohan
Aditya Gopalan
84
12
0
05 Nov 2019
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