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2003.00162
Cited By
Decentralized Multi-player Multi-armed Bandits with No Collision Information
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
29 February 2020
Chengshuai Shi
Wei Xiong
Cong Shen
Jing Yang
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Papers citing
"Decentralized Multi-player Multi-armed Bandits with No Collision Information"
26 / 26 papers shown
Decentralized Asynchronous Multi-player Bandits
Jingqi Fan
Canzhe Zhao
Shuai Li
Siwei Wang
107
0
0
30 Sep 2025
Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities
Hong Xie
Jinyu Mo
Defu Lian
Jie Wang
Enhong Chen
142
0
0
20 Aug 2024
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators
Renzhe Xu
Haotian Wang
Xingxuan Zhang
Yue Liu
Peng Cui
346
5
0
22 Mar 2024
Incentivized Truthful Communication for Federated Bandits
Zhepei Wei
Chuanhao Li
Tianze Ren
Haifeng Xu
Hongning Wang
FedML
253
2
0
07 Feb 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits
Chengshuai Shi
Ruida Zhou
Kun Yang
Cong Shen
FedML
249
0
0
26 Dec 2023
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs
Tianyuan Jin
Hao-Lun Hsu
William Chang
Pan Xu
245
3
0
24 Dec 2023
Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and No Communication
IEEE Conference on Decision and Control (CDC), 2023
William Chang
Yuanhao Lu
337
2
0
10 Nov 2023
Incentivized Communication for Federated Bandits
Neural Information Processing Systems (NeurIPS), 2023
Zhepei Wei
Chuanhao Li
Haifeng Xu
Hongning Wang
FedML
334
4
0
21 Sep 2023
Constant or logarithmic regret in asynchronous multiplayer bandits
Hugo Richard
Etienne Boursier
Vianney Perchet
282
1
0
31 May 2023
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
International Conference on Machine Learning (ICML), 2023
Renzhe Xu
Hongya Wang
Xingxuan Zhang
Yangqiu Song
Peng Cui
348
10
0
30 May 2023
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits
AAAI Conference on Artificial Intelligence (AAAI), 2022
Efstathia Soufleri
Jiaqiang Li
256
2
0
12 Dec 2022
A survey on multi-player bandits
Journal of machine learning research (JMLR), 2022
Etienne Boursier
Vianney Perchet
338
28
0
29 Nov 2022
Multi-Player Bandits Robust to Adversarial Collisions
Shivakumar Mahesh
A. Rangi
Haifeng Xu
Long Tran-Thanh
AAML
234
3
0
15 Nov 2022
The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication
Annual Conference Computational Learning Theory (COLT), 2022
Allen Liu
Mark Sellke
269
2
0
19 Feb 2022
An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit
Aldo Pacchiano
Peter L. Bartlett
Sai Li
320
6
0
08 Nov 2021
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
Chengshuai Shi
Wei Xiong
Cong Shen
Jing Yang
346
30
0
27 Oct 2021
Federated Linear Contextual Bandits
Ruiquan Huang
Weiqiang Wu
Jing Yang
Cong Shen
FedML
228
88
0
27 Oct 2021
Online Learning for Cooperative Multi-Player Multi-Armed Bandits
IEEE Conference on Decision and Control (CDC), 2021
William Chang
Mehdi Jafarnia-Jahromi
Rahul Jain
293
7
0
07 Sep 2021
Multi-player Multi-armed Bandits with Collision-Dependent Reward Distributions
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Chengshuai Shi
Cong Shen
141
14
0
25 Jun 2021
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions
Junyan Liu
Shuai Li
Dapeng Li
226
6
0
08 Jun 2021
Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information
Annual Conference Computational Learning Theory (COLT), 2021
Wei Huang
Richard Combes
Cindy Trinh
221
17
0
24 Mar 2021
Federated Multi-armed Bandits with Personalization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Chengshuai Shi
Cong Shen
Jing Yang
FedML
268
99
0
25 Feb 2021
A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information
Cindy Trinh
Richard Combes
169
2
0
19 Feb 2021
Federated Multi-Armed Bandits
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chengshuai Shi
Cong Shen
FedML
287
113
0
28 Jan 2021
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2020
Chengshuai Shi
Cong Shen
AAML
283
9
0
02 Nov 2020
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Zhi Wang
Chicheng Zhang
Manish Singh
L. Riek
Kamalika Chaudhuri
477
26
0
29 Oct 2020
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