Cover Image

QuACK: A Multipurpose Queuing Algorithm for Cooperative $k$-Armed Bandits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Howson, Benjamin, Filippi, Sarah, Pike-Burke, Ciara
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
by: Luo, Di, et al.
Published: (2022)

Fixed-Budget Change Point Identification in Piecewise Constant Bandits
by: Lazzaro, Joseph, et al.
Published: (2025)

Fixed-Confidence Multiple Change Point Identification under Bandit Feedback
by: Lazzaro, Joseph, et al.
Published: (2025)

Locally Differentially Private Thresholding Bandits
by: Barbara, Annalisa, et al.
Published: (2025)

When and why randomised exploration works (in linear bandits)
by: Abeille, Marc, et al.
Published: (2025)

Learning Fair And Effective Points-Based Rewards Programs
by: Hssaine, Chamsi, et al.
Published: (2025)

Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
by: Johnson, Emmeran, et al.
Published: (2023)

Individual Regret in Cooperative Stochastic Multi-Armed Bandits
by: Barnea, Idan, et al.
Published: (2024)

Stochastic Shortest Path with Sparse Adversarial Costs
by: Johnson, Emmeran, et al.
Published: (2025)

Optimal Streaming Algorithms for Multi-Armed Bandits
by: Jin, Tianyuan, et al.
Published: (2024)

DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
by: Zhang, Jason Shuo, et al.
Published: (2024)

On the necessity of adaptive regularisation:Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
by: Johnson, Emmeran, et al.
Published: (2025)

Distributed Algorithms for Multi-Agent Multi-Armed Bandits with Collision
by: Zhou, Daoyuan, et al.
Published: (2025)

A General Recipe for the Analysis of Randomized Multi-Armed Bandit Algorithms
by: Baudry, Dorian, et al.
Published: (2023)

Meet Me at the Arm: The Cooperative Multi-Armed Bandits Problem with Shareable Arms
by: Hu, Xinyi, et al.
Published: (2025)

Multi-Armed Bandits with Interference
by: Jia, Su, et al.
Published: (2024)

Imprecise Multi-Armed Bandits
by: Kosoy, Vanessa
Published: (2024)

The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
by: Bayati, Mohsen, et al.
Published: (2020)

Algorithm Design and Stronger Guarantees for the Improving Multi-Armed Bandits Problem
by: Blum, Avrim, et al.
Published: (2025)

Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits
by: Xu, Tianyi, et al.
Published: (2025)

A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
by: Nakamura, Shintaro, et al.
Published: (2023)

Flickering Multi-Armed Bandits
by: Chakraborty, Sourav, et al.
Published: (2026)

Multi-Armed Bandits with Network Interference
by: Agarwal, Abhineet, et al.
Published: (2024)

Stochastic Multi-Objective Multi-Armed Bandits: Regret Definition and Algorithm
by: Davoodi, Mansoor, et al.
Published: (2025)

Rising Multi-Armed Bandits with Known Horizons
by: Song, Seockbean, et al.
Published: (2026)

Diversity-Preserving K-Armed Bandits, Revisited
by: Hadiji, Hédi, et al.
Published: (2020)

Collaborating in Multi-Armed Bandits with Strategic Agents
by: Barnea, Idan, et al.
Published: (2026)

On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)

Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
by: Esmaeili, Seyed A., et al.
Published: (2023)

Autonomous Drug Design with Multi-Armed Bandits
by: Svensson, Hampus Gummesson, et al.
Published: (2022)

Introduction to Multi-Armed Bandits
by: Slivkins, Aleksandrs
Published: (2019)

Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits
by: Li, Mengmeng, et al.
Published: (2024)

Stochastic Multi-Armed Bandits with Limited Control Variates
by: Verma, Arun, et al.
Published: (2026)

Tracking Most Significant Shifts in Infinite-Armed Bandits
by: Suk, Joe, et al.
Published: (2025)

Federated Multi-Armed Bandits Under Byzantine Attacks
by: Saday, Artun, et al.
Published: (2022)

Decentralized Upper Confidence Bound Algorithms for Homogeneous Multi-Agent Multi-Armed Bandits
by: Zhu, Jingxuan, et al.
Published: (2021)

Byzantine-Resilient Decentralized Multi-Armed Bandits
by: Zhu, Jingxuan, et al.
Published: (2023)

Multi-Armed Bandits With Best-Action Queries
by: Bacchiocchi, Francesco, et al.
Published: (2026)

Top-k Multi-Armed Bandit Learning for Content Dissemination in Swarms of Micro-UAVs
by: Bhuyan, Amit Kumar, et al.
Published: (2024)

On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)