Cover Image

Imprecise Multi-Armed Bandits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Kosoy, Vanessa
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

Ambiguous Online Learning
by: Kosoy, Vanessa
Published: (2025)

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

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

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

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

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

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)

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

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

Regret Bounds for Robust Online Decision Making
by: Appel, Alexander, et al.
Published: (2025)

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

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

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

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

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

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)

Adversarial Attacks on Combinatorial Multi-Armed Bandits
by: Balasubramanian, Rishab, et al.
Published: (2023)

Unlearning Offline Stochastic Multi-Armed Bandits
by: Ye, Zichun, et al.
Published: (2026)

Heterogeneous Multi-Player Multi-Armed Bandits Robust To Adversarial Attacks
by: Magesh, Akshayaa, et al.
Published: (2025)

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

Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference
by: Jamshidi, Fateme, et al.
Published: (2025)

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
by: Xu, Lily, et al.
Published: (2020)

Collaborative Min-Max Regret in Grouped Multi-Armed Bandits
by: Blanchard, Moïse, et al.
Published: (2025)

MARBLE: Multi-Armed Restless Bandits in Latent Markovian Environment
by: Amiri, Mohsen, et al.
Published: (2025)

Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee
by: Hung, Yu-Heng, et al.
Published: (2025)

Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
by: Li, Shaoang, et al.
Published: (2025)

Stringological sequence prediction I: efficient algorithms for predicting highly repetitive sequences
by: Kosoy, Vanessa
Published: (2026)

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

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
by: Wang, Zhiwei, et al.
Published: (2024)

Multi-Armed Bandits with Minimum Aggregated Revenue Constraints
by: Yahmed, Ahmed Ben, et al.
Published: (2025)

Quantile Multi-Armed Bandits with 1-bit Feedback
by: Lau, Ivan, et al.
Published: (2025)

Large Language Model-Enhanced Multi-Armed Bandits
by: Sun, Jiahang, et al.
Published: (2025)

Multi-Armed Bandits-Based Optimization of Decision Trees
by: Shanto, Hasibul Karim, et al.
Published: (2025)

Global Rewards in Restless Multi-Armed Bandits
by: Raman, Naveen, et al.
Published: (2024)

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

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

Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning
by: Lee, Harin, et al.
Published: (2026)

Towards Noise-Resilient Quantum Multi-Armed and Stochastic Linear Bandits
by: Chen, Zhuoyue, et al.
Published: (2026)