Decentralized Multi-player Multi-armed Bandits with No Collision Information

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"

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Title
Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities Hong Xie Jinyu Mo Defu Lian Jie Wang Enhong Chen 28 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 69 3 0 22 Mar 2024
Incentivized Truthful Communication for Federated Bandits Zhepei Wei Chuanhao Li Tianze Ren Haifeng Xu Hongning Wang FedML 58 2 0 07 Feb 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 60 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 51 2 0 24 Dec 2023
Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and No Communication William Chang Yuanhao Lu 82 2 0 10 Nov 2023
Incentivized Communication for Federated Bandits Zhepei Wei Chuanhao Li Haifeng Xu Hongning Wang FedML 78 4 0 21 Sep 2023
Constant or logarithmic regret in asynchronous multiplayer bandits Hugo Richard Etienne Boursier Vianney Perchet 61 1 0 31 May 2023
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits Renzhe Xu Hongya Wang Xingxuan Zhang Yangqiu Song Peng Cui 40 6 0 30 May 2023
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits Guojun Xiong Jiaqiang Li 84 1 0 12 Dec 2022
A survey on multi-player bandits Etienne Boursier Vianney Perchet 89 16 0 29 Nov 2022
Multi-Player Bandits Robust to Adversarial Collisions Shivakumar Mahesh A. Rangi Haifeng Xu Long Tran-Thanh AAML 19 1 0 15 Nov 2022
The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication Allen Liu Mark Sellke 72 2 0 19 Feb 2022
An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit Aldo Pacchiano Peter L. Bartlett Michael I. Jordan 71 6 0 08 Nov 2021
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization Chengshuai Shi Wei Xiong Cong Shen Jing Yang 65 24 0 27 Oct 2021
Federated Linear Contextual Bandits Ruiquan Huang Weiqiang Wu Jing Yang Cong Shen FedML 73 78 0 27 Oct 2021
Online Learning for Cooperative Multi-Player Multi-Armed Bandits William Chang Mehdi Jafarnia-Jahromi Rahul Jain 72 7 0 07 Sep 2021
Multi-player Multi-armed Bandits with Collision-Dependent Reward Distributions Chengshuai Shi Cong Shen 13 11 0 25 Jun 2021
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions Junyan Liu Shuai Li Dapeng Li 58 6 0 08 Jun 2021
Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information Wei Huang Richard Combes Cindy Trinh 41 13 0 24 Mar 2021
Federated Multi-armed Bandits with Personalization Chengshuai Shi Cong Shen Jing Yang FedML 84 85 0 25 Feb 2021
A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information Cindy Trinh Richard Combes 16 0 0 19 Feb 2021
Federated Multi-Armed Bandits Chengshuai Shi Cong Shen FedML 144 93 0 28 Jan 2021
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications Chengshuai Shi Cong Shen AAML 66 9 0 02 Nov 2020
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation Zhi Wang Chicheng Zhang Manish Singh L. Riek Kamalika Chaudhuri 111 23 0 29 Oct 2020