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1508.03326
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A Survey on Contextual Multi-armed Bandits
13 August 2015
Li Zhou
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Papers citing
"A Survey on Contextual Multi-armed Bandits"
48 / 48 papers shown
Reward Model Routing in Alignment
Xinle Wu
Yao Lu
154
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03 Oct 2025
Latent Preference Bandits
Newton Mwai
Emil Carlsson
Fredrik D. Johansson
237
0
0
07 Aug 2025
Scalable and Interpretable Contextual Bandits: A Literature Review and Retail Offer Prototype
Nikola Tankovic
Robert Sajina
297
0
0
22 May 2025
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits
Pratik Rakesh Singh
Kritarth Prasad
Mohammadi Zaki
Pankaj Wasnik
240
1
0
21 May 2025
Information maximization for a broad variety of multi-armed bandit games
Alex Barbier-Chebbah
Christian L. Vestergaard
Jean-Baptiste Masson
204
0
0
20 Mar 2025
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits
Duy Nguyen
Archiki Prasad
Elias Stengel-Eskin
Joey Tianyi Zhou
590
6
0
02 Oct 2024
BFTBrain: Adaptive BFT Consensus with Reinforcement Learning
Symposium on Networked Systems Design and Implementation (NSDI), 2024
Chenyuan Wu
Haoyun Qin
Mohammad Javad Amiri
B. T. Loo
Dahlia Malkhi
Ryan Marcus
274
6
0
12 Aug 2024
Reciprocal Learning
Neural Information Processing Systems (NeurIPS), 2024
Julian Rodemann
Christoph Jansen
G. Schollmeyer
FedML
344
0
0
12 Aug 2024
Active Inference in Contextual Multi-Armed Bandits for Autonomous Robotic Exploration
IEEE Transactions on robotics (IEEE Trans. Robot.), 2024
Shohei Wakayama
Alberto Candela
Paul Hayne
Nisar R. Ahmed
261
0
0
07 Aug 2024
EdgeLoc: A Communication-Adaptive Parallel System for Real-Time Localization in Infrastructure-Assisted Autonomous Driving
Boyi Liu
Jingwen Tong
Yufan Zhuang
321
6
0
20 May 2024
Contextual Restless Multi-Armed Bandits with Application to Demand Response Decision-Making
IEEE Conference on Decision and Control (CDC), 2024
Xin Chen
I-Hong Hou
174
8
0
22 Mar 2024
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias
Philip A. LeMaitre
Marius Krumm
Hans J. Briegel
AI4CE
335
2
0
15 Feb 2024
Pricing with Contextual Elasticity and Heteroscedastic Valuation
Jianyu Xu
Yu-Xiang Wang
233
3
0
26 Dec 2023
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations
Belhassen Bayar
Phanideep Gampa
Ainur Yessenalina
Zhen Wen
AAML
147
0
0
24 Sep 2023
Approximate information for efficient exploration-exploitation strategies
Physical Review E (PRE), 2023
A. Barbier–Chebbah
Christian L. Vestergaard
Jean-Baptiste Masson
191
2
0
04 Jul 2023
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
International Conference on Learning Representations (ICLR), 2023
Yuwei Luo
Mohsen Bayati
420
2
0
26 Jun 2023
Learning Action Embeddings for Off-Policy Evaluation
European Conference on Information Retrieval (ECIR), 2023
Matej Cief
Jacek Golebiowski
Philipp Schmidt
Ziawasch Abedjan
Artur Bekasov
OffRL
218
7
0
06 May 2023
Lero: A Learning-to-Rank Query Optimizer
Proceedings of the VLDB Endowment (PVLDB), 2023
Rong Zhu
Wei Chen
Bolin Ding
Xingguang Chen
A. Pfadler
Ziniu Wu
Jingren Zhou
334
96
0
14 Feb 2023
Personalized Reward Learning with Interaction-Grounded Learning (IGL)
International Conference on Learning Representations (ICLR), 2022
Jessica Maghakian
Paul Mineiro
Kishan Panaganti
Mark Rucker
Akanksha Saran
Cheng Tan
256
12
0
28 Nov 2022
AdaChain: A Learned Adaptive Blockchain
Proceedings of the VLDB Endowment (PVLDB), 2022
Chenyuan Wu
Bhavana Mehta
Mohammad Javad Amiri
Ryan Marcus
B. T. Loo
315
18
0
03 Nov 2022
Sequential Decision Making on Unmatched Data using Bayesian Kernel Embeddings
Diego Martinez-Taboada
Dino Sejdinovic
BDL
181
1
0
25 Oct 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook
Expert systems with applications (ESWA), 2022
Baihan Lin
OffRL
AI4TS
479
30
0
24 Oct 2022
A Scalable Recommendation Engine for New Users and Items
Social Science Research Network (SSRN), 2022
Boya Xu
Yiting Deng
C. Mela
313
2
0
06 Sep 2022
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
International Conference on Machine Learning (ICML), 2022
Jeongyeol Kwon
Yonathan Efroni
Constantine Caramanis
Shie Mannor
AAML
278
6
0
30 Jan 2022
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
Journal of the American Statistical Association (JASA), 2021
Ye Shen
Hengrui Cai
Rui Song
OffRL
402
6
0
29 Oct 2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Neural Information Processing Systems (NeurIPS), 2021
Runzhe Wan
Linjuan Ge
Rui Song
324
31
0
13 Aug 2021
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits
Kaushik Roy
Tao Gui
Manas Gaur
A. Sheth
OffRL
216
15
0
25 Jun 2021
Dealing with Expert Bias in Collective Decision-Making
Axel Abels
Tom Lenaerts
V. Trianni
Ann Nowé
425
8
0
25 Jun 2021
Relational Boosted Bandits
AAAI Conference on Artificial Intelligence (AAAI), 2020
A. Kakadiya
S. Natarajan
Balaraman Ravindran
178
7
0
16 Dec 2020
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
AAAI Conference on Artificial Intelligence (AAAI), 2020
Lingda Wang
Bingcong Li
Huozhi Zhou
G. Giannakis
Lav Varshney
Zhizhen Zhao
328
9
0
10 Dec 2020
Asymptotic Randomised Control with applications to bandits
Samuel N. Cohen
Tanut Treetanthiploet
409
5
0
14 Oct 2020
Decentralized Learning for Channel Allocation in IoT Networks over Unlicensed Bandwidth as a Contextual Multi-player Multi-armed Bandit Game
IEEE Transactions on Wireless Communications (TWC), 2020
Wenbo Wang
Amir Leshem
Dusit Niyato
Zhu Han
283
20
0
30 Mar 2020
Contextual Constrained Learning for Dose-Finding Clinical Trials
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Hyun-Suk Lee
Cong Shen
James Jordon
M. Schaar
254
15
0
08 Jan 2020
Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks
Mateus P. Mota
D. C. Araújo
F. H. C. Neto
A. D. Almeida
F. Cavalcanti
66
59
0
25 Nov 2019
Multi-Armed Bandits with Correlated Arms
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
Samarth Gupta
Shreyas Chaudhari
Gauri Joshi
Osman Yağan
498
60
0
06 Nov 2019
Optimising Individual-Treatment-Effect Using Bandits
Jeroen Berrevoets
Sam Verboven
Wouter Verbeke
CML
100
3
0
16 Oct 2019
Gittins' theorem under uncertainty
Electronic Journal of Probability (EJP), 2019
Samuel N. Cohen
Tanut Treetanthiploet
258
4
0
12 Jul 2019
Rarely-switching linear bandits: optimization of causal effects for the real world
B. Lansdell
Sofia Triantafillou
Konrad Paul Kording
288
5
0
30 May 2019
Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits
IEEE Conference on Decision and Control (CDC), 2019
Ali Yekkehkhany
Ebrahim Arian
Mohammad Hajiesmaili
R. Nagi
268
12
0
30 Apr 2019
Correlated Multi-armed Bandits with a Latent Random Source
Samarth Gupta
Gauri Joshi
Osman Yağan
217
22
0
17 Aug 2018
Linear Bandits with Stochastic Delayed Feedback
International Conference on Machine Learning (ICML), 2018
Claire Vernade
Alexandra Carpentier
Tor Lattimore
Giovanni Zappella
Beyza Ermis
M. Brueckner
409
73
0
05 Jul 2018
Multi-Statistic Approximate Bayesian Computation with Multi-Armed Bandits
Prashant Singh
Andreas Hellander
260
2
0
22 May 2018
Online Learning: A Comprehensive Survey
Guosheng Lin
Doyen Sahoo
Jing Lu
P. Zhao
OffRL
469
785
0
08 Feb 2018
Courtesy as a Means to Coordinate
Panayiotis Danassis
Boi Faltings
254
1
0
22 Jan 2018
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits
Huasen Wu
Xueying Guo
Xin Liu
162
29
0
12 Sep 2017
Latent Contextual Bandits and their Application to Personalized Recommendations for New Users
Li Zhou
Emma Brunskill
185
65
0
22 Apr 2016
A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit
Giuseppe Burtini
Jason L. Loeppky
Ramon Lawrence
419
123
0
02 Oct 2015
Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits
Huasen Wu
R. Srikant
Xin Liu
Chong Jiang
403
98
0
27 Apr 2015
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