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Asymptotically Optimal Information-Directed Sampling

Asymptotically Optimal Information-Directed Sampling

11 November 2020
Johannes Kirschner
Tor Lattimore
Claire Vernade
Csaba Szepesvári
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Papers citing "Asymptotically Optimal Information-Directed Sampling"

8 / 8 papers shown
Title
Risk-aware linear bandits with convex loss
Risk-aware linear bandits with convex loss
Patrick Saux
Odalric-Ambrym Maillard
19
2
0
15 Sep 2022
Truncated LinUCB for Stochastic Linear Bandits
Truncated LinUCB for Stochastic Linear Bandits
Yanglei Song
Meng zhou
49
0
0
23 Feb 2022
Minimax Regret for Partial Monitoring: Infinite Outcomes and
  Rustichini's Regret
Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini's Regret
Tor Lattimore
16
16
0
22 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
31
9
0
02 Nov 2021
The Value of Information When Deciding What to Learn
The Value of Information When Deciding What to Learn
Dilip Arumugam
Benjamin Van Roy
37
12
0
26 Oct 2021
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored
  Online Binary Classification
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification
James A. Grant
David S. Leslie
44
3
0
29 Sep 2021
Information Directed Sampling for Sparse Linear Bandits
Information Directed Sampling for Sparse Linear Bandits
Botao Hao
Tor Lattimore
Wei Deng
19
19
0
29 May 2021
Reinforcement Learning, Bit by Bit
Reinforcement Learning, Bit by Bit
Xiuyuan Lu
Benjamin Van Roy
Vikranth Dwaracherla
M. Ibrahimi
Ian Osband
Zheng Wen
30
70
0
06 Mar 2021
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