:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zheng, Hua, Xie, Wei, Ryzhov, Ilya O., Choy, Keilung
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2501.02205
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Adjoint Sensitivity Analysis on Multi-Scale Bioprocess Stochastic Reaction Network
por: Choy, Keilung, et al.
Publicado: (2024)

Variance Reduction Based Experience Replay for Policy Optimization
por: Zheng, Hua, et al.
Publicado: (2026)

A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example
por: Choy, Keilung, et al.
Publicado: (2025)

Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process
por: Cheng, Fuqiang, et al.
Publicado: (2024)

Individual and group fairness in geographical partitioning
por: Ryzhov, Ilya O., et al.
Publicado: (2025)

Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric
por: Tao, Zhenyu, et al.
Publicado: (2025)

Digital Twin-enabled Multi-generation Control Co-Design with Deep Reinforcement Learning
por: Tsai, Ying-Kuan, et al.
Publicado: (2025)

AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Cities
por: Cakir, Lal Verda, et al.
Publicado: (2024)

Digital Twin Supervised Reinforcement Learning Framework for Autonomous Underwater Navigation
por: Mari, Zamirddine, et al.
Publicado: (2025)

Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
por: Tao, Zhenyu, et al.
Publicado: (2023)

TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins
por: Makarov, Nikita, et al.
Publicado: (2026)

Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
por: Tao, Zhenyu, et al.
Publicado: (2024)

Adaptive Sensor Steering Strategy Using Deep Reinforcement Learning for Dynamic Data Acquisition in Digital Twins
por: Ogbodo, Collins O., et al.
Publicado: (2025)

Digital Twin-based Control Co-Design of Full Vehicle Active Suspensions via Deep Reinforcement Learning
por: Tsai, Ying-Kuan, et al.
Publicado: (2025)

Ensuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification
por: Yu, Hang, et al.
Publicado: (2026)

Digital Twin Generators for Disease Modeling
por: Alam, Nameyeh, et al.
Publicado: (2024)

Mathematics of Digital Twins and Transfer Learning for PDE Models
por: Zong, Yifei, et al.
Publicado: (2025)

AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twins
por: Lee, Ju-Hyung, et al.
Publicado: (2025)

TwinLoop: Simulation-in-the-Loop Digital Twins for Online Multi-Agent Reinforcement Learning
por: Zhang, Nan, et al.
Publicado: (2026)

Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning
por: Yaldiz, Duygu Nur, et al.
Publicado: (2026)

Sustainability of Data Center Digital Twins with Reinforcement Learning
por: Sarkar, Soumyendu, et al.
Publicado: (2024)

Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates
por: Ruah, Clement, et al.
Publicado: (2023)

Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges
por: Cheng, Nan, et al.
Publicado: (2024)

Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing
por: Chen, Xiangchun, et al.
Publicado: (2024)

Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry
por: Mayr, Michael, et al.
Publicado: (2024)

Automatically Learning Hybrid Digital Twins of Dynamical Systems
por: Holt, Samuel, et al.
Publicado: (2024)

Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows
por: Yu, Hao, et al.
Publicado: (2024)

Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks
por: Zhou, Yuzhi, et al.
Publicado: (2025)

Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning
por: Bistrian, Diana Alina, et al.
Publicado: (2022)

SYN-DIGITS: A Synthetic Control Framework for Calibrated Digital Twin Simulation
por: Fan, Grace Jiarui, et al.
Publicado: (2026)

Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning
por: Li, Tao, et al.
Publicado: (2023)

Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
por: Yu, Hanzhi, et al.
Publicado: (2026)

UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms
por: Belomestny, Denis, et al.
Publicado: (2021)

TwinSegNet: A Digital Twin-Enabled Federated Learning Framework for Brain Tumor Analysis
por: Wakili, Almustapha A., et al.
Publicado: (2025)

Variational Digital Twins
por: Burnett, Logan A., et al.
Publicado: (2025)

MTDT: A Multi-Task Deep Learning Digital Twin
por: Yousefzadeh, Nooshin, et al.
Publicado: (2024)

Training Without Orthogonalization, Inference With SVD: A Gradient Analysis of Rotation Representations
por: Choy, Chris
Publicado: (2026)

DesCartes Builder: A Tool to Develop Machine-Learning Based Digital Twins
por: de Conto, Eduardo, et al.
Publicado: (2025)

Continual Model-Based Reinforcement Learning with Hypernetworks
por: Huang, Yizhou, et al.
Publicado: (2020)

Bellman Calibration for $V$-Learning in Offline Reinforcement Learning
por: van der Laan, Lars, et al.
Publicado: (2025)