Imagen de Portada

Rising Multi-Armed Bandits with Known Horizons

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Song, Seockbean, Gan, Chenyu, Yoon, Youngsik, Wang, Siwei, Chen, Wei, Ok, Jungseul
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Combinatorial Rising Bandits
por: Song, Seockbean, et al.
Publicado: (2024)

PaT: Planning-after-Trial for Efficient Test-Time Code Generation
por: Yoon, Youngsik, et al.
Publicado: (2026)

When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
por: Yoon, Youngsik, et al.
Publicado: (2026)

Experience-based Knowledge Correction for Robust Planning in Minecraft
por: Lee, Seungjoon, et al.
Publicado: (2025)

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
por: Liu, Xutong, et al.
Publicado: (2024)

Comparison-based Active Preference Learning for Multi-dimensional Personalization
por: Oh, Minhyeon, et al.
Publicado: (2024)

Flickering Multi-Armed Bandits
por: Chakraborty, Sourav, et al.
Publicado: (2026)

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

Imprecise Multi-Armed Bandits
por: Kosoy, Vanessa
Publicado: (2024)

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

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

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

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

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

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

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

Introduction to Multi-Armed Bandits
por: Slivkins, Aleksandrs
Publicado: (2019)

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

Continuous K-Max Bandits
por: Chen, Yu, et al.
Publicado: (2025)

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

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

Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
por: Cho, Brian, et al.
Publicado: (2024)

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

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

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

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

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

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

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

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

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

EPIC: Efficient Predicate-Guided Inference-Time Control for Compositional Text-to-Image Generation
por: Mun, Sunung, et al.
Publicado: (2026)

Activity-Guided Industrial Anomalous Sound Detection against Interferences
por: Lee, Yunjoo, et al.
Publicado: (2024)

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

Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
por: Shao, Junning, et al.
Publicado: (2025)

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

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

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

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

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