Cover Image

Digital Twin-enabled Multi-generation Control Co-Design with Deep Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tsai, Ying-Kuan, Karkaria, Vispi, Chen, Yi-Ping, Chen, Wei
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

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

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning
by: Chen, Yi-Ping, et al.
Published: (2025)

Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks
by: Chen, Yi-Ping, et al.
Published: (2025)

Digital Twins for the Designs of Systems: a Perspective
by: van Beek, Anton, et al.
Published: (2022)

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
by: Karkaria, Vispi, et al.
Published: (2024)

An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
by: Karkaria, Vispi, et al.
Published: (2025)

Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization
by: Karkaria, Vispi, et al.
Published: (2024)

Adaptive Digital Twin of Sheet Metal Forming via Proper Orthogonal Decomposition-Based Koopman Operator with Model Predictive Control
by: Chen, Yi-Ping, et al.
Published: (2025)

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

Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric
by: Tao, Zhenyu, 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 Calibration with Model-Based Reinforcement Learning
by: Zheng, Hua, et al.
Published: (2025)

Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey
by: Zemskov, Alexander D., et al.
Published: (2024)

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

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning
by: Chen, Ying-Tu, et al.
Published: (2026)

NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping
by: Tsai, Pi-Ju, et al.
Published: (2026)

Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning
by: Slautin, Boris N., et al.
Published: (2024)

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

ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design
by: Wang, Zihan, et al.
Published: (2025)

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)

Rollout-Training Co-Design for Efficient LLM-Based Multi-Agent Reinforcement Learning
by: Jiang, Zhida, et al.
Published: (2026)

Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
by: Chen, Jun-Hao, et al.
Published: (2025)

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

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

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

Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems
by: Cauz, Marine, et al.
Published: (2024)

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

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

Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning
by: Chen, Sze-Ann, et al.
Published: (2026)

Deep Reinforcement Learning for the Design of Metamaterial Mechanisms with Functional Compliance Control
by: Choi, Yejun, et al.
Published: (2024)

Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling
by: Chan, Tin Ping, 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)

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

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

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

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning
by: Ding, Xianzhong, et al.
Published: (2025)

Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
by: Yeh, Jia-Fong, et al.
Published: (2020)

DeCoR: Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning
by: Poudel, Bibek, et al.
Published: (2026)

MARS: Co-evolving Dual-System Deep Research via Multi-Agent Reinforcement Learning
by: Chen, Guoxin, et al.
Published: (2025)

DOFEN: Deep Oblivious Forest ENsemble
by: Chen, Kuan-Yu, et al.
Published: (2024)