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1606.00911
Cited By
Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms
2 June 2016
Peter Landgren
Vaibhav Srivastava
Naomi Ehrich Leonard
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Papers citing
"Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms"
28 / 28 papers shown
Title
Communication Bounds for the Distributed Experts Problem
Zhihao Jia
Qi Pang
Trung Tran
David Woodruff
Zhihao Zhang
Wenting Zheng
68
0
0
06 Jan 2025
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
57
16
0
02 Feb 2024
Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis
Phevos Paschalidis
Runyu Zhang
Na Li
38
0
0
18 Jan 2024
Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Constant Communication Costs
L. Yang
Xuchuang Wang
Mohammad Hajiesmaili
Lijun Zhang
John C. S. Lui
Don Towsley
41
5
0
08 Aug 2023
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
Mengfan Xu
Diego Klabjan
52
6
0
08 Jun 2023
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
Ronshee Chawla
Daniel Vial
Sanjay Shakkottai
R. Srikant
43
4
0
30 May 2023
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Nikolai Karpov
Qin Zhang
39
1
0
26 Jan 2023
On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits
Jialin Yi
Milan Vojnović
46
3
0
30 Nov 2022
Anonymous Bandits for Multi-User Systems
Hossein Esfandiari
Vahab Mirrokni
Jon Schneider
PICV
31
1
0
21 Oct 2022
Robust Online and Distributed Mean Estimation Under Adversarial Data Corruption
Tong Yao
S. Sundaram
FedML
33
3
0
17 Sep 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
A. Mitra
Arman Adibi
George J. Pappas
Hamed Hassani
49
6
0
06 Jun 2022
Private and Byzantine-Proof Cooperative Decision-Making
Abhimanyu Dubey
Alex Pentland
24
24
0
27 May 2022
Collaborative Multi-agent Stochastic Linear Bandits
Ahmadreza Moradipari
Mohammad Ghavamzadeh
M. Alizadeh
31
6
0
12 May 2022
Linear Stochastic Bandits over a Bit-Constrained Channel
A. Mitra
Hamed Hassani
George J. Pappas
47
8
0
02 Mar 2022
Distributed Bandits with Heterogeneous Agents
Lin Yang
Y. Chen
Mohammad Hajiesmaili
John C. S. Lui
Don Towsley
58
21
0
23 Jan 2022
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication
Udari Madhushani
Abhimanyu Dubey
Naomi Ehrich Leonard
Alex Pentland
35
25
0
24 Nov 2021
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
Erdem Biyik
Anusha Lalitha
R. Saha
Andrea J. Goldsmith
Dorsa Sadigh
49
4
0
02 Oct 2021
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions
Junyan Liu
Shuai Li
Dapeng Li
28
6
0
08 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
50
87
0
04 May 2021
Multi-Robot Gaussian Process Estimation and Coverage: A Deterministic Sequencing Algorithm and Regret Analysis
Lai Wei
Andrew McDonald
Vaibhav Srivastava
44
10
0
12 Jan 2021
Federated Bandit: A Gossiping Approach
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
152
83
0
24 Oct 2020
Differentially-Private Federated Linear Bandits
Abhimanyu Dubey
Alex Pentland
FedML
37
116
0
22 Oct 2020
Bayesian Algorithms for Decentralized Stochastic Bandits
Anusha Lalitha
Andrea J. Goldsmith
46
15
0
20 Oct 2020
Robust Multi-Agent Multi-Armed Bandits
Daniel Vial
Sanjay Shakkottai
R. Srikant
37
36
0
07 Jul 2020
Social Learning in Multi Agent Multi Armed Bandits
Abishek Sankararaman
A. Ganesh
Sanjay Shakkottai
41
84
0
04 Oct 2019
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits
Yogev Bar-On
Yishay Mansour
21
41
0
07 Jul 2019
Heterogeneous Stochastic Interactions for Multiple Agents in a Multi-armed Bandit Problem
T. W. U. Madhushani
J. Wijayakulasooriya
14
35
0
21 May 2019
Decentralized Exploration in Multi-Armed Bandits -- Extended version
Raphael Feraud
Réda Alami
Romain Laroche
FedML
38
21
0
19 Nov 2018
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