Cover Image

Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tao, Zhenyu, Xu, Wei, You, Xiaohu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
by: Tao, Zhenyu, et al.
Published: (2023)

A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications
by: Tao, Zhenyu, et al.
Published: (2025)

Toward Trustworthy Digital Twins in Agentic AI-based Wireless Network Optimization: Challenges, Solutions, and Opportunities
by: Tao, Zhenyu, et al.
Published: (2025)

Digital Twin Calibration with Model-Based Reinforcement Learning
by: Zheng, Hua, et al.
Published: (2025)

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

Trustworthy DNN Partition for Blockchain-enabled Digital Twin in Wireless IIoT Networks
by: Deng, Xiumei, et al.
Published: (2024)

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

Fairness in Reinforcement Learning with Bisimulation Metrics
by: Rezaei-Shoshtari, Sahand, et al.
Published: (2024)

Digital versus Analog Transmissions for Federated Learning over Wireless Networks
by: Yao, Jiacheng, et al.
Published: (2024)

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

Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks
by: Yu, Hanzhi, et al.
Published: (2025)

A Theoretical Analysis of State Similarity Between Markov Decision Processes
by: Tao, Zhenyu, et al.
Published: (2025)

Revisiting Bisimulation Metric for Robust Representations in Reinforcement Learning
by: Zhang, Leiji, et al.
Published: (2025)

Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
by: Zhang, Zifan, et al.
Published: (2024)

Data-driven Discovery of Digital Twins in Biomedical Research
by: Métayer, Clémence, et al.
Published: (2025)

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

Variational Digital Twins
by: Burnett, Logan A., et al.
Published: (2025)

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

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

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

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

Automatic Generation of Digital Twins for Network Testing
by: Ding, Shenjia, et al.
Published: (2025)

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

Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learning
by: Zhang, Jiexin, et al.
Published: (2025)

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

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

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

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

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

M3Net: A Multi-Metric Mixture of Experts Network Digital Twin with Graph Neural Networks
by: Guda, Blessed, et al.
Published: (2025)

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

Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network
by: Chu, Shunfeng, et al.
Published: (2024)

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

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

Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning
by: Ma, Sizhe, et al.
Published: (2025)

Network Digital Untwinning: Towards Backward Optimization of Digital Twins
by: Zhang, Zifan, et al.
Published: (2026)

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

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