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Contextual Bandit with Missing Rewards
v1v2 (latest)

Contextual Bandit with Missing Rewards

13 July 2020
Djallel Bouneffouf
Sohini Upadhyay
Y. Khazaeni
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Contextual Bandit with Missing Rewards"

6 / 6 papers shown
CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for
  Mental Health
CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental HealthInternational Conference on Mobile Software Engineering and Systems (MOBILESoft), 2024
Sheng Yu
Narjes Nourzad
R. Semple
Yixue Zhao
Emily Zhou
Bhaskar Krishnamachari
245
5
0
26 Jan 2024
Efficient Reinforcement Learning with Impaired Observability: Learning
  to Act with Delayed and Missing State Observations
Efficient Reinforcement Learning with Impaired Observability: Learning to Act with Delayed and Missing State ObservationsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Minshuo Chen
Jie Meng
Yunru Bai
Yinyu Ye
H. Vincent Poor
Mengdi Wang
331
3
0
02 Jun 2023
Some performance considerations when using multi-armed bandit algorithms
  in the presence of missing data
Some performance considerations when using multi-armed bandit algorithms in the presence of missing dataPLoS ONE (PLoS ONE), 2022
Xijin Chen
K. M. Lee
S. Villar
D. Robertson
239
2
0
08 May 2022
Etat de lárt sur lápplication des bandits multi-bras
Etat de lárt sur lápplication des bandits multi-bras
Djallel Bouneffouf
345
0
0
04 Jan 2021
Online Semi-Supervised Learning with Bandit Feedback
Online Semi-Supervised Learning with Bandit Feedback
Sohini Upadhyay
Mikhail Yurochkin
Mayank Agarwal
Y. Khazaeni
Djallel Bouneffouf
274
7
0
23 Oct 2020
Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling
Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling
Djallel Bouneffouf
249
1
0
21 Jul 2020
1
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