Imagen de Portada

Performance-bounded Online Ensemble Learning Method Based on Multi-armed bandits and Its Applications in Real-time Safety Assessment

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hu, Songqiao, Liu, Zeyi, He, Xiao
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift
por: Hu, Songqiao, et al.
Publicado: (2025)

SafeLink: Safety-Critical Control Under Dynamic and Irregular Unsafe Regions
por: Hu, Songqiao, et al.
Publicado: (2025)

VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer
por: Hu, Songqiao, et al.
Publicado: (2025)

Asymmetric Adaptation-based Real-time Fault Diagnosis Under Transitional Operating Conditions
por: Zhao, Hongshuo, et al.
Publicado: (2026)

Awesome-OL: An Extensible Toolkit for Online Learning
por: Liu, Zeyi, et al.
Publicado: (2025)

The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective
por: Muehlebach, Michael, et al.
Publicado: (2025)

Sample-Free Safety Assessment of Neural Network Controllers via Taylor Methods
por: Evans, Adam, et al.
Publicado: (2026)

Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
por: Manupriya, Piyushi, et al.
Publicado: (2025)

Vector preference-based contextual bandits under distributional shifts
por: Shukla, Apurv, et al.
Publicado: (2025)

Real-time Hybrid System Identification with Online Deterministic Annealing
por: Mavridis, Christos, et al.
Publicado: (2024)

Multi-mode Fault Diagnosis Datasets of Gearbox Under Variable Working Conditions
por: Chen, Shijin, et al.
Publicado: (2024)

Functional multi-armed bandit and the best function identification problems
por: Dorn, Yuriy, et al.
Publicado: (2025)

Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment
por: Za'ter, Muhy Eddin, et al.
Publicado: (2024)

Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applications
por: Deng, Chuhao, et al.
Publicado: (2024)

Multi-Condition Fault Diagnosis of Dynamic Systems: A Survey, Insights, and Prospects
por: Han, Pengyu, et al.
Publicado: (2024)

Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction
por: Shen, Shan, et al.
Publicado: (2025)

Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
por: Zhang, Yu, et al.
Publicado: (2024)

Online Learning of Kalman Filtering: From Output to State Estimation
por: Ye, Lintao, et al.
Publicado: (2026)

Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
por: Za'ter, Muhy Eddin, et al.
Publicado: (2025)

Multi-mode Fault Diagnosis Datasets of Three-phase Asynchronous Motor Under Variable Working Conditions
por: Chen, Shijin, et al.
Publicado: (2026)

Robust Online Learning over Networks
por: Bastianello, Nicola, et al.
Publicado: (2023)

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
por: Dai, Xiaobing, et al.
Publicado: (2024)

Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation
por: Manda, Lakshmideepakreddy, et al.
Publicado: (2024)

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

Kernel-Based Learning of Safety Barriers
por: Schön, Oliver, et al.
Publicado: (2026)

Statistically Assuring Safety of Control Systems using Ensembles of Safety Filters and Conformal Prediction
por: Tabbara, Ihab, et al.
Publicado: (2025)

Task-Aware Machine Unlearning and Its Application in Load Forecasting
por: Xu, Wangkun, et al.
Publicado: (2023)

Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning
por: Jonnarth, Arvi, et al.
Publicado: (2024)

Augmented Physics-Based Li-ion Battery Model via Adaptive Ensemble Sparse Learning and Conformal Prediction
por: da Silva, Samuel Filgueira, et al.
Publicado: (2025)

An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree
por: Wang, Hanxuan, et al.
Publicado: (2024)

Safe Online Control-Informed Learning
por: Zhou, Tianyu, et al.
Publicado: (2025)

Online Learning for Supervisory Switching Control
por: Sun, Haoyuan, et al.
Publicado: (2026)

Provably Optimal Reinforcement Learning under Safety Filtering
por: Oh, Donggeon David, et al.
Publicado: (2025)

Critical States Identiffcation in Power System via Lattice Partition and Its Application in Reliability Assessment
por: Hu, Han, et al.
Publicado: (2025)

Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents
por: Bejarano, Federico Pizarro, et al.
Publicado: (2024)

Embedding Safety into RL: A New Take on Trust Region Methods
por: Milosevic, Nikola, et al.
Publicado: (2024)

Reliability Assessment of Power System Based on the Dichotomy Method
por: Wan, Wenjie, et al.
Publicado: (2025)

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
por: He, Tairan, et al.
Publicado: (2024)

An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization
por: Luebsen, Jannis O., et al.
Publicado: (2025)

Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
por: Deng, Yang, et al.
Publicado: (2025)