Cover Image

Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dai, Yan, Huang, Longbo
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Machine Learning Performance Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimization Trade-offs in Asynchronous Federated Learning: A Stochastic Networks Approach
by: Alahyane, Abdelkrim, et al.
Published: (2026)

Competitive Online Optimization under Inventory Constraints
by: Lin, Qiulin, et al.
Published: (2019)

Efficient Interaction-Aware Interval Analysis of Neural Network Feedback Loops
by: Jafarpour, Saber, et al.
Published: (2023)

HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach
by: Hossain, Abrar, et al.
Published: (2025)

Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Efficient Solving of Large Single Input Superstate Decomposable Markovian Decision Process
by: Mahjoub, Youssef Ait El, et al.
Published: (2025)

Optimizing Asynchronous Federated Learning: A Delicate Trade-Off Between Model-Parameter Staleness and Update Frequency
by: Alahyane, Abdelkrim, et al.
Published: (2025)

Learning to Sparsify Stochastic Linear Bandits
by: Wang, Zhengmiao, et al.
Published: (2026)

Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics
by: Choi, Sunmook, et al.
Published: (2025)

Distributed Online Submodular Maximization under Communication Delays: A Simultaneous Decision-Making Approach
by: Xu, Zirui, et al.
Published: (2026)

Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization
by: Mittal, Sukrit, et al.
Published: (2020)

(Un)supervised Learning of Maximal Lyapunov Functions
by: Barreau, Matthieu, et al.
Published: (2024)

Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach
by: Noori, Amir, et al.
Published: (2024)

ReLU Networks for Model Predictive Control: Network Complexity and Performance Guarantees
by: Li, Xingchen, et al.
Published: (2026)

Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
by: Cao, John, et al.
Published: (2025)

Dynamic Rolling Horizon Optimization for Network-Constrained V2X Value Stacking of Electric Vehicles Under Uncertainties
by: Jiang, Canchen, et al.
Published: (2025)

The Gittins Index: A Design Principle for Decision-Making Under Uncertainty
by: Scully, Ziv, et al.
Published: (2025)

Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability
by: Comte, Céline, et al.
Published: (2023)

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
by: Zhou, Quan, et al.
Published: (2020)

Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)

Adversarially Robust Multitask Adaptive Control
by: Fallah, Kasra, et al.
Published: (2025)

On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
by: Muehlebach, Michael, et al.
Published: (2021)

Forward Invariance in Neural Network Controlled Systems
by: Harapanahalli, Akash, et al.
Published: (2023)

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking
by: Chen, Jun, et al.
Published: (2025)

Differentiable Discrete Event Simulation for Queuing Network Control
by: Che, Ethan, et al.
Published: (2024)

Improved Scalable Lipschitz Bounds for Deep Neural Networks
by: Syed, Usman, et al.
Published: (2025)

Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame
by: Abtahi, Mohammad, et al.
Published: (2025)

Provably-Stable Neural Network-Based Control of Nonlinear Systems
by: Li, Anran, et al.
Published: (2025)

Model-Free Output Feedback Stabilization via Policy Gradient Methods
by: Zhang, Ankang, et al.
Published: (2026)

Data-Driven Adversarial Online Control for Unknown Linear Systems
by: Liu, Zishun, et al.
Published: (2023)

Optimization and Learning in Open Multi-Agent Systems
by: Deplano, Diego, et al.
Published: (2025)

Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
by: Authier, Jules, et al.
Published: (2023)

Efficient Reachability Analysis for Convolutional Neural Networks Using Hybrid Zonotopes
by: Zhang, Yuhao, et al.
Published: (2025)

Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
by: Cho, Namhoon, et al.
Published: (2022)

Smooth Non-Stationary Bandits
by: Jia, Su, et al.
Published: (2023)

Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks
by: Noori, Sahel Vahedi, et al.
Published: (2024)

Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
by: Hose, Henrik, et al.
Published: (2024)

Fast and Reliable $N-k$ Contingency Screening with Input-Convex Neural Networks
by: Christianson, Nicolas, et al.
Published: (2024)

Robust Online Learning over Networks
by: Bastianello, Nicola, et al.
Published: (2023)