Adaptive Requesting in Decentralized Edge Networks via Non-Stationary Bandits
Fuente:
arXiv
Saved in:
| Main Authors: | Zhuang, Yi, Yang, Kun, Chen, Xingran |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks
by: Chen, Xingran, et al.
Published: (2026)
by: Chen, Xingran, et al.
Published: (2026)
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
by: Xu, Mengfan, et al.
Published: (2024)
by: Xu, Mengfan, et al.
Published: (2024)
Multi-agent In-context Coordination via Decentralized Memory Retrieval
by: Jiang, Tao, et al.
Published: (2025)
by: Jiang, Tao, et al.
Published: (2025)
Anomaly Detection in Networked Bandits
by: Cheng, Xiaotong, et al.
Published: (2025)
by: Cheng, Xiaotong, et al.
Published: (2025)
Adversarial Bandit over Bandits: Hierarchical Bandits for Online Configuration Management
by: Avin, Chen, et al.
Published: (2025)
by: Avin, Chen, et al.
Published: (2025)
Adaptive Decentralized Composite Optimization via Three-Operator Splitting
by: Chen, Xiaokai, et al.
Published: (2026)
by: Chen, Xiaokai, 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)
Harnessing the Power of Federated Learning in Federated Contextual Bandits
by: Shi, Chengshuai, et al.
Published: (2023)
by: Shi, Chengshuai, et al.
Published: (2023)
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
by: Tang, Shuo, et al.
Published: (2024)
by: Tang, Shuo, et al.
Published: (2024)
Robust, Online, and Adaptive Decentralized Gaussian Processes
by: Llorente, Fernando, et al.
Published: (2025)
by: Llorente, Fernando, et al.
Published: (2025)
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
by: Zhang, Guibin, et al.
Published: (2024)
by: Zhang, Guibin, et al.
Published: (2024)
Cooperative Multi-Agent Constrained Stochastic Linear Bandits
by: Afsharrad, Amirhossein, et al.
Published: (2024)
by: Afsharrad, Amirhossein, et al.
Published: (2024)
Near Optimal Best Arm Identification for Clustered Bandits
by: Yash, et al.
Published: (2025)
by: Yash, et al.
Published: (2025)
In-Context Curiosity: Distilling Exploration for Decision-Pretrained Transformers on Bandit Tasks
by: Yang, Huitao, et al.
Published: (2025)
by: Yang, Huitao, et al.
Published: (2025)
Fully-Decentralized MADDPG with Networked Agents
by: Bolliger, Diego, et al.
Published: (2025)
by: Bolliger, Diego, et al.
Published: (2025)
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks
by: Yahya, Mariam, et al.
Published: (2024)
by: Yahya, Mariam, et al.
Published: (2024)
Sensor to Pixels: Decentralized Swarm Gathering via Image-Based Reinforcement Learning
by: Koifman, Yigal, et al.
Published: (2026)
by: Koifman, Yigal, et al.
Published: (2026)
The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
by: Zhou, Tianyue, et al.
Published: (2024)
by: Zhou, Tianyue, et al.
Published: (2024)
Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis
by: Paschalidis, Phevos, et al.
Published: (2024)
by: Paschalidis, Phevos, et al.
Published: (2024)
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
by: Bui, The Viet, et al.
Published: (2024)
by: Bui, The Viet, et al.
Published: (2024)
Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD update
by: Hairi, Fnu, et al.
Published: (2024)
by: Hairi, Fnu, et al.
Published: (2024)
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
by: Lin, Jiabin, et al.
Published: (2024)
by: Lin, Jiabin, et al.
Published: (2024)
Interference-Robust Non-Coherent Over-the-Air Computation for Decentralized Optimization
by: Michelusi, Nicolò
Published: (2026)
by: Michelusi, Nicolò
Published: (2026)
Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation
by: Gao, Zhan, et al.
Published: (2024)
by: Gao, Zhan, et al.
Published: (2024)
Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation
by: Xiong, Guojun, et al.
Published: (2025)
by: Xiong, Guojun, et al.
Published: (2025)
An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
by: Amato, Christopher
Published: (2024)
by: Amato, Christopher
Published: (2024)
Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems
by: Chavan, Utkarsh U., et al.
Published: (2025)
by: Chavan, Utkarsh U., et al.
Published: (2025)
Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge Dropout
by: Dezhboro, Amirhossein, et al.
Published: (2026)
by: Dezhboro, Amirhossein, et al.
Published: (2026)
Beyond Scaling: Agents Are Heading to the Edge
by: Tian, Chunlin, et al.
Published: (2026)
by: Tian, Chunlin, et al.
Published: (2026)
Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
by: Duan, Wenchang, et al.
Published: (2025)
by: Duan, Wenchang, et al.
Published: (2025)
Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning
by: Zhang, Yuyang, et al.
Published: (2026)
by: Zhang, Yuyang, et al.
Published: (2026)
Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
by: Sharma, Shradha, et al.
Published: (2026)
by: Sharma, Shradha, et al.
Published: (2026)
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints
by: Hassan, Raheeb, et al.
Published: (2023)
by: Hassan, Raheeb, et al.
Published: (2023)
EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks
by: Ray, Abir
Published: (2025)
by: Ray, Abir
Published: (2025)
Double Distillation Network for Multi-Agent Reinforcement Learning
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
by: Zhang, Zhiyao, et al.
Published: (2025)
by: Zhang, Zhiyao, et al.
Published: (2025)
Energy Efficient Task Offloading in UAV-Enabled MEC Using a Fully Decentralized Deep Reinforcement Learning Approach
by: Asadian-Rad, Hamidreza, et al.
Published: (2025)
by: Asadian-Rad, Hamidreza, et al.
Published: (2025)
MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
by: Chen, Jiayi, et al.
Published: (2025)
by: Chen, Jiayi, et al.
Published: (2025)
Robust Multi-agent Communication via Multi-view Message Certification
by: Yuan, Lei, et al.
Published: (2023)
by: Yuan, Lei, et al.
Published: (2023)
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
by: Liu, Zichuan, et al.
Published: (2022)
by: Liu, Zichuan, et al.
Published: (2022)
Similar Items
-
Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks
by: Chen, Xingran, et al.
Published: (2026) -
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
by: Xu, Mengfan, et al.
Published: (2024) -
Multi-agent In-context Coordination via Decentralized Memory Retrieval
by: Jiang, Tao, et al.
Published: (2025) -
Anomaly Detection in Networked Bandits
by: Cheng, Xiaotong, et al.
Published: (2025) -
Adversarial Bandit over Bandits: Hierarchical Bandits for Online Configuration Management
by: Avin, Chen, et al.
Published: (2025)