A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players

4 February 2019

Papers citing "A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players"

10 / 10 papers shown

Title
Learning to Control Unknown Strongly Monotone Games Siddharth Chandak Ilai Bistritz Nicholas Bambos 36 3 0 30 Jun 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 36 5 0 08 Aug 2023
A survey on multi-player bandits Etienne Boursier Vianney Perchet 32 13 0 29 Nov 2022
Collaborative Algorithms for Online Personalized Mean Estimation Mahsa Asadi A. Bellet Odalric-Ambrym Maillard Marc Tommasi FedML 53 4 0 24 Aug 2022
Near-Optimal Collaborative Learning in Bandits Clémence Réda Sattar Vakili E. Kaufmann FedML 30 21 0 31 May 2022
Distributed Bandits with Heterogeneous Agents Lin Yang Y. Chen Mohammad Hajiesmaili John C. S. Lui Don Towsley 53 21 0 23 Jan 2022
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
Federated Multi-Armed Bandits Chengshuai Shi Cong Shen FedML 73 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
Decentralized Multi-player Multi-armed Bandits with No Collision Information Chengshuai Shi Wei Xiong Cong Shen Jing Yang 20 36 0 29 Feb 2020