Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without

28 April 2019

Papers citing "Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without"

9 / 9 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
A survey on multi-player bandits Etienne Boursier Vianney Perchet 32 13 0 29 Nov 2022
Distributed Bandits with Heterogeneous Agents Lin Yang Y. Chen Mohammad Hajiesmaili John C. S. Lui Don Towsley 53 21 0 23 Jan 2022
An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit Aldo Pacchiano Peter L. Bartlett Michael I. Jordan 24 5 0 08 Nov 2021
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization Chengshuai Shi Wei Xiong Cong Shen Jing Yang 25 23 0 27 Oct 2021
Regret, stability & fairness in matching markets with bandit learners Sarah H. Cen Devavrat Shah FaML 24 23 0 11 Feb 2021
Federated Multi-Armed Bandits Chengshuai Shi Cong Shen FedML 77 92 0 28 Jan 2021
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications Chengshuai Shi Cong Shen AAML 19 9 0 02 Nov 2020
Coordination without communication: optimal regret in two players multi-armed bandits Sébastien Bubeck Thomas Budzinski 18 23 0 14 Feb 2020