Online Learning of Whittle Indices for Restless Bandits with Non-Stationary Transition Kernels
Fuente:
arXiv
Saved in:
| Main Authors: | Shisher, Md Kamran Chowdhury, Tripathi, Vishrant, Chiang, Mung, Brinton, Christopher G. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AoI-based Scheduling of Correlated Sources for Timely Inference
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2025)
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2025)
Communication-Efficient Personalized Adaptation via Federated-Local Model Merging
by: Zou, Yinan, et al.
Published: (2026)
by: Zou, Yinan, et al.
Published: (2026)
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
by: Piaseczny, Adam, et al.
Published: (2025)
by: Piaseczny, Adam, et al.
Published: (2025)
Whittle Index Learning Algorithms for Restless Bandits with Constant Stepsizes
by: Mittal, Vishesh, et al.
Published: (2024)
by: Mittal, Vishesh, et al.
Published: (2024)
Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee
by: Hung, Yu-Heng, et al.
Published: (2025)
by: Hung, Yu-Heng, et al.
Published: (2025)
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
by: Chang, Zhan-Lun, et al.
Published: (2023)
by: Chang, Zhan-Lun, et al.
Published: (2023)
Communication-Efficient Federated Learning under Dynamic Device Arrival and Departure: Convergence Analysis and Algorithm Design
by: Chang, Zhan-Lun, et al.
Published: (2024)
by: Chang, Zhan-Lun, et al.
Published: (2024)
A Modularized Framework for Piecewise-Stationary Restless Bandits
by: Li, Kuan-Ta, et al.
Published: (2026)
by: Li, Kuan-Ta, et al.
Published: (2026)
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
by: Wang, Su, et al.
Published: (2023)
by: Wang, Su, et al.
Published: (2023)
Timely Communications for Remote Inference
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2024)
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2024)
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
by: Iwazaki, Shogo, et al.
Published: (2024)
by: Iwazaki, Shogo, et al.
Published: (2024)
ContextWIN: Whittle Index Based Mixture-of-Experts Neural Model For Restless Bandits Via Deep RL
by: Guo, Zhanqiu, et al.
Published: (2024)
by: Guo, Zhanqiu, et al.
Published: (2024)
Fairness of Exposure in Online Restless Multi-armed Bandits
by: Sood, Archit, et al.
Published: (2024)
by: Sood, Archit, et al.
Published: (2024)
Restless Bandits with Individual Penalty Constraints: Near-Optimal Indices and Deep Reinforcement Learning
by: Zamir, Nida, et al.
Published: (2026)
by: Zamir, Nida, et al.
Published: (2026)
The Bandit Whisperer: Communication Learning for Restless Bandits
by: Zhao, Yunfan, et al.
Published: (2024)
by: Zhao, Yunfan, et al.
Published: (2024)
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
by: Xiong, Guojun, et al.
Published: (2024)
by: Xiong, Guojun, et al.
Published: (2024)
Computation and Communication Co-scheduling for Multi-Task Remote Inference
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2025)
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2025)
Restless Linear Bandits
by: Khaleghi, Azadeh
Published: (2024)
by: Khaleghi, Azadeh
Published: (2024)
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
by: Xiong, Guojun, et al.
Published: (2024)
by: Xiong, Guojun, et al.
Published: (2024)
Non-Stationary Lipschitz Bandits
by: Nguyen, Nicolas, et al.
Published: (2025)
by: Nguyen, Nicolas, et al.
Published: (2025)
Faster Q-Learning Algorithms for Restless Bandits
by: Kakarapalli, Parvish, et al.
Published: (2024)
by: Kakarapalli, Parvish, et al.
Published: (2024)
A Federated Online Restless Bandit Framework for Cooperative Resource Allocation
by: Tong, Jingwen, et al.
Published: (2024)
by: Tong, Jingwen, et al.
Published: (2024)
Non-Stationary Bandit Learning via Predictive Sampling
by: Liu, Yueyang, et al.
Published: (2022)
by: Liu, Yueyang, et al.
Published: (2022)
Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems
by: Kang, Sunjung, et al.
Published: (2025)
by: Kang, Sunjung, et al.
Published: (2025)
Communication-Efficient Cooperative Localization: A Graph Neural Network Approach
by: Zou, Yinan, et al.
Published: (2025)
by: Zou, Yinan, et al.
Published: (2025)
Exploring Performance Tradeoffs in Age-Aware Remote Monitoring with Satellites
by: Kang, Sunjung, et al.
Published: (2026)
by: Kang, Sunjung, et al.
Published: (2026)
Networked Restless Multi-Arm Bandits with Reinforcement Learning
by: Zhang, Hanmo, et al.
Published: (2025)
by: Zhang, Hanmo, et al.
Published: (2025)
Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
by: Li, Shaoang, et al.
Published: (2025)
by: Li, Shaoang, et al.
Published: (2025)
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
by: Liang, Biyonka, et al.
Published: (2024)
by: Liang, Biyonka, et al.
Published: (2024)
Online Regularized Statistical Learning in Reproducing Kernel Hilbert Space With Non-Stationary Data
by: Zhang, Xiwei, et al.
Published: (2024)
by: Zhang, Xiwei, et al.
Published: (2024)
Adaptive Smooth Non-Stationary Bandits
by: Suk, Joe
Published: (2024)
by: Suk, Joe
Published: (2024)
Smooth Non-Stationary Bandits
by: Jia, Su, et al.
Published: (2023)
by: Jia, Su, et al.
Published: (2023)
Incentivized Exploration of Non-Stationary Stochastic Bandits
by: Chakraborty, Sourav, et al.
Published: (2024)
by: Chakraborty, Sourav, et al.
Published: (2024)
Non-Stationary Latent Auto-Regressive Bandits
by: Trella, Anna L., et al.
Published: (2024)
by: Trella, Anna L., et al.
Published: (2024)
MARBLE: Multi-Armed Restless Bandits in Latent Markovian Environment
by: Amiri, Mohsen, et al.
Published: (2025)
by: Amiri, Mohsen, et al.
Published: (2025)
Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting
by: Genalti, Gianmarco, et al.
Published: (2024)
by: Genalti, Gianmarco, et al.
Published: (2024)
General Formulation and PCL-Analysis for Restless Bandits with Limited Observability
by: Liu, Keqin, et al.
Published: (2023)
by: Liu, Keqin, et al.
Published: (2023)
Low-Complexity Algorithm for Restless Bandits with Imperfect Observations
by: Liu, Keqin, et al.
Published: (2021)
by: Liu, Keqin, et al.
Published: (2021)
Distributed Learning in Markovian Restless Bandits over Interference Graphs for Stable Spectrum Sharing
by: Didi, Liad Lea, et al.
Published: (2025)
by: Didi, Liad Lea, et al.
Published: (2025)
Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
by: Bertsimas, Dimitris, et al.
Published: (2025)
by: Bertsimas, Dimitris, et al.
Published: (2025)
Similar Items
-
AoI-based Scheduling of Correlated Sources for Timely Inference
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2025) -
Communication-Efficient Personalized Adaptation via Federated-Local Model Merging
by: Zou, Yinan, et al.
Published: (2026) -
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
by: Piaseczny, Adam, et al.
Published: (2025) -
Whittle Index Learning Algorithms for Restless Bandits with Constant Stepsizes
by: Mittal, Vishesh, et al.
Published: (2024) -
Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee
by: Hung, Yu-Heng, et al.
Published: (2025)